{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 第五回：样式色彩秀芳华"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 一、matplotlib的绘图样式（style）"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "在matplotlib中，要想设置绘制样式，最简单的方法是在绘制元素时单独设置样式。\n",
    "但是有时候，当用户在做专题报告时，往往会希望保持整体风格的统一而不用对每张图一张张修改，因此matplotlib库还提供了四种批量修改全局样式的方式"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 1.matplotlib预先定义样式"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "matplotlib贴心地提供了许多内置的样式供用户使用，使用方法很简单，只需在python脚本的最开始输入想使用style的名称即可调用，尝试调用不同内置样式，比较区别"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib as mpl\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x1ca5b718888>]"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.style.use('default')\n",
    "plt.plot([1,2,3,4],[2,3,4,5])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x1ca5b9c82c8>]"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.style.use('ggplot')\n",
    "plt.plot([1,2,3,4],[2,3,4,5])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "那么matplotlib究竟内置了那些样式供使用呢？总共以下26种丰富的样式可供选择。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['Solarize_Light2', '_classic_test_patch', 'bmh', 'classic', 'dark_background', 'fast', 'fivethirtyeight', 'ggplot', 'grayscale', 'seaborn', 'seaborn-bright', 'seaborn-colorblind', 'seaborn-dark', 'seaborn-dark-palette', 'seaborn-darkgrid', 'seaborn-deep', 'seaborn-muted', 'seaborn-notebook', 'seaborn-paper', 'seaborn-pastel', 'seaborn-poster', 'seaborn-talk', 'seaborn-ticks', 'seaborn-white', 'seaborn-whitegrid', 'tableau-colorblind10']\n"
     ]
    }
   ],
   "source": [
    "print(plt.style.available)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 2.用户自定义stylesheet"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "在任意路径下创建一个后缀名为mplstyle的样式清单，编辑文件添加以下样式内容  \n",
    "\n",
    "> axes.titlesize : 24     \n",
    "axes.labelsize : 20   \n",
    "lines.linewidth : 3   \n",
    "lines.markersize : 10   \n",
    "xtick.labelsize : 16   \n",
    "ytick.labelsize : 16  \n",
    "\n",
    "引用自定义stylesheet后观察图表变化。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x1ca5ba3a788>]"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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xBxBWfRKzfv16lJaWYu7cuU0CTEdJSEjAnj17UF5ejh9++AEDBgxo8bVeXl7w8vJqttZR/+NKKfmHgoU4K8txVpbjrCzHWf2XrKmG3JQE+fV+bdHHF53/8CrK+93CmVnInnOyKsSkpaXBw8MDe/bswZ49e5rU8vPzAQD79u3D6dOnERwcjLlz57arOX9/fwQFBaGsrAylpaXtOhYREZHMyzXfvK4oX1vsEQWPp16B39BfobywUP/myGpWnxNTX1+PzMzMFuvFxcUoLi62ybkoqqqiqqoKAHiVEhERtZmUEvLwbsj3VwOmOk1djJ0AkTCb20dOxurtpJZ0xDkx6enpMBqNEEIgOjraJsckIiL3IqurIDesgPzmsLboa4Ay41mIX8Xp3xi1my5PsU5NTUVqaipiYmLw7LPPNn6/pKQEmZmZGDVqFLy9vZu8Jy0tDUlJSQCAuLg4BAcH69EqERG5EPljtnn76GIz20O9YqDMeQmiazf9GyOb0CXElJeXo6CgQBNEKioqsHz5cqxZswZRUVEICQlBbW0t8vPzUfif/cibbroJiYmJerRJREQuQkoJeeBzyI/eBZq5QlXcfT/ElJkQLVwQQs5BlxDTki5dumDSpEnIzs5GUVERcnJyYDKZEBgYiGHDhiEuLg6jR4+GorT56QhERORmZFUF1PeWAyeOaosGPygzn4cYOkr/xsjmrLpPjDMqLi5ucv8YWxBCoFu3bigsLOTld63grCzHWVmOs7Kcu81K5v4AddUioORnbTHqRvP2UegNLb7f3ebVHh01Ky8vr465TwwREZEjklJCfrEdcut7QH0z20e/joeInw5xnZumkvPhf00iInJqsvIq1HVLgYw0bdEvAMrsuRA3j9C/MepwDDFEROS0ZHYW1FWLgUvF2mLMACiJ8yE6d9wz9Mi+GGKIiMjpSFWF/Nc2yJQNQH29pi7GPwQx6VEIDw87dEd6YYghIiKnIq+WQ133T+B0urYYEARl9gsQg4bp3hfpjyGGiIichjz3PdTVbwCXm3me3o2DoCTOgwjuon9jZBcMMURE5PCkqkLu2gq5fTOgqk2LQkDcNxVi4lRuH7kZhhgiInJosvwy1HffBDJPaouBwVCenAcx4Bbd+yL7Y4ghIiKHJbNOQV3zD+BKmbY44BYoT7wIERSif2PkEBhiiIjI4Ui1HnLHR5A7PgTktdtHCsQD0yAmPAShcPvInTHEEBGRQ5GXL5m3j7JOaYvBnaE8OR+i3yD9GyOHwxBDREQOQ2Z+C3XNm8DVK9rioGHmy6cDgvRvjBwSQwwREdmdrK+H3P4+5K4twLUPE1QUiMnTIe6Nh1AU+zRIDokhhoiI7EqWlUJdvRj4IVNbDAmFMmc+RMxA/Rsjh8cQQ0REdiNPH4e6dglQUa4t3jwCyqznIfwD9W+MnAJDDBER6U6aTJDbNkLu/kRb9PCAePBxiHGTIITQvzlyGgwxRESkK1labN4+ys7SFrt0hTLnJYg+/fRvjJwOQwwREelGnjwGdd1SoKpCWxwyCsrMP0D4+evfGDklhhgiIupw0lQH+XEy5N5PtUUPT4iHZ0HcNZHbR2QVhhgiIupQsrjI/OTp3HPaYli4efuod1/9GyOnxxBDREQdRp44CnX9MqC6UlMTw2+DmPEshMHPDp2RK2CIISIim5N1dZBb1kLu36ktenpBTH0SYsxvuH1E7cIQQ0RENiUvFkBduRj4MVtb7BoB5amXIXr20b8xcjkMMUREZDPqN0cgk5cBNdWamhg5BmL67yA6GezQGbkihhgiImo3WWuE/PBdyEOp2qKXN8S0ORBx47h9RDbFEENERO0ii/KgrlwE5P1bWwzvDuXpVyAie+neF7k+hhgiImoz9esDkBvfBow1mpq49S6IR5+G8Olkh87IHTDEEBGR1aTRCPnBKsgj/9IWvX0gHn0ayui79W+M3ApDDBERWUUW/GjePir4UVuM7GW+eV1ET/0bI7fDEENERBZTv/wCcvM7QG2tpiZu/zXE1EQIHx87dEbuiCGGiIhaJWuqITcnQX61X1v08YWY/gyU2DH6N0ZujSGGiIiuS+b927x9VJSnLXaPMt+8LjxS/8bI7THEEBFRs6SUkIf3QH6wGqhrZvto7HiIhCcgvLz1b44IDDFERNQMWV0FuWEF5DeHtUVfA8T0Z6GMiNO/MaJfYIghIqIm5I/Z5u2ji4XaYq8Y89VHXbvp3xjRNRhiiIgIwH+2jw7sgvxoDWAyaeri7vshpsyE8PKyQ3dEWgwxREQEWVUJNXkZcPyotmjwg/L4HyCG3ap/Y0TXwRBDROTm5L9/MG8flfysLUbdaN4+Cr1B/8aIWsEQQ0TkpqSUkF98Brl1PVDfzPbRrydDxE+H8OT2ETkmm4SYjRs3Yvv27QCAqVOnYsqUKVYf49SpU9i5cyfOnz+PmpoahIWFITY2FvHx8ejUiQ8PIyKyJVl5Fer6t4CTx7RFvwAos+ZC3DJC/8aIrNDuEHP27Fl89tlnEEJAStmmY+zYsQPJyckQQqB///4ICgpCVlYWUlJScOzYMbz22msIDAxsb6tERARAZmdBXbUYuFSsLcYMgJI4H6JzmP6NEVmpXSHGaDTi7bffRkhICKKjo/HNN99YfYzc3Fxs2LABiqLglVdewdChQxuPvWjRIpw+fRqrV6/GvHnz2tMqEZHbk6oK+a9PIVOSgfp6TV2MnwLxwKMQnjzTgJyD0p43b968GYWFhZgzZw4MBkObjpGSkgIpJcaOHdsYYADAx8cHTz/9NIQQOHbsGPLz89vTKhGRW5NXr0Bd/lfIreu0AcY/EMrz/x+UBx9ngCGn0uYQ8/333yM1NRV33HEHhg0b1qZjmEwmfPvttwCAuDjtnR/DwsLQv39/AEBaWlpbWyUicmvG70+i/rW5wOl0bfHGm6D8aSnEoOG690XUXm2K3DU1NXjnnXcQFBSEmTNntvmHFxQUwGg0AgCio6ObfU2fPn1w5swZ5ObmtvnnEBG5I6mqkLs/wcVtmwD1mk9fhIC4LwFi4iMQHh72aZCondoUYpKTk3Hx4kXMnz8f/v7+bf7hFy9eBAD4+fnB19e32dd06dIFAFBc3MwJaL9QV1eHurq6xq+FEI3HFEK0ucfmNBzP1sd1RZyV5Tgry3FWrZPllyHffRPy+2+1xcBgKE/OgzJwiO59OTquLcs5wqysDjEZGRnYu3cvRo8ejZEjR7brh9fU1AAwn//SkobLq6uqqq57rJSUFGzdurXx66ioKCxcuBBhYR13hn14eHiHHdvVcFaW46wsx1k1r+ZUOkoXL4C8VKKp+dwyAl3m/wUenUPt0Jnz4NqynD1nZVWIqaqqQlJSEgIDAzF79uyO6qlN4uPjMXHixMavG5JhcXExTM08A6Q9hBAIDw9HUVFRmy8rdxecleU4K8txVs2Taj3kzo+gbv8AkGrTolCgPDANpvsexkVjHVDYzMMdiWvLCh01K09PT4s/gLAqxKxfvx6lpaWYO3euTe7b0vApS8N5Mc1p+LSmtaufvLy84NXCQ8k6aiFKKbnILcRZWY6zshxn9V/yShnUNf8Ask5pakrnUGD2ixD9Bplfy5m1imvLcvaclVUhJi0tDR4eHtizZw/27NnTpNZwCfS+fftw+vRpBAcHY+7cudc9XteuXQEAlZWVqK6ubva8mNLSUgDo0G0hIiJnJjNPQn33TaD8sqYmbhqG8P/9Oy5WG/mXMrkcq8+Jqa+vR2ZmZov14uJiFBcXWxQ6IiIi4OPjA6PRiOzsbAwaNEjzmpycHADmc1yIiOi/ZH095GfvQ36+Bbg2oCgKxOTHoPxmCjyCOwPV3D4i12P1dlJLVqxYgYMHD1r17CRPT08MHToUX3/9NY4cOaIJMcXFxTh79iwAtPskYiIiVyLLSqGueQM49722GBJqfnRA34G8yoZcWrvu2Gup1NRUzJ07F8uXL9fUJk+eDCEEDhw4gJMnTzZ+32g0IikpCaqqIjY2FpGRkXq0SkTk8OR3x6G+9nzzAWbwr6D86Z8QfQfq3xiRznS5v3R5eTkKCgoQHBysqfXp0wfTp09HcnIyXn/9dQwcOBCBgYHIyspCWVkZIiIikJiYqEebREQOTZpMkJ9ugkz9WFv08IB4cAbEPZMgFF3+fUpkdw7xkIyJEyeiZ8+e2LFjB86fPw+j0YjQ0FBMnjwZ8fHxLd4Ij4jIXchLxeYnT2dnaYtdupq3j6L7698YkR0J6eKnqxcXFze5k68tCCHQrVs3FBYW8mz/VnBWluOsLOdus5IZaVDXLQUqr2qLQ0ZBmfkHCL/m757ubrNqL87Lch01Ky8vr465TwwREelHmuogP0mG/Nen2qKHJ8TDsyDumsiTd8ltMcQQETkgWfKzefso95y2GBYOZc5LEL376t8YkQNhiCEicjDyxFdQ33sLqKrUFoePhjLjOQiDn/6NETkYhhgiIgch6+ogt66D3LdDW/T0gpj6BMSY8dw+IvoPhhgiIgcgLxaat48unNcWu0ZAeepliJ599G+MyIExxBAR2Zn6zRHI5GVATbWmJkbeATH9GYhO138ILpE7YoghIrITWVcL+eEayIOp2qKXN8S0ORBx47h9RNQChhgiIjuQRflQVy4C8nK1xfDu5u2j7r1174vImTDEEBHpTP36AOTGtwFjjaYmbr0T4rdPQ3TincqJWsMQQ0SkE2k0Qn6wCvLIv7RFbx+I3z4N5ba79W+MyEkxxBAR6UAW/mTePsq/oC1G9DRvH0X01L8xIifGEENE1MHUo19AbkoCao2amogbB/HIHAgfHzt0RuTcGGKIiDqIrKmG3JwE+dV+bdGnE8Rjz0AZNVb3vohcBUMMEVEHkHn/Nm8fFeVpi92jzNtH4ZH6N0bkQhhiiIhsSEoJeeRfkO+vAupqNXUx5jcQCU9AeHP7iKi9GGKIiGxE1lRBbngbMu2QttjJF2LGc1BGxOnfGJGLYoghIrIB+WOOefvoYoG22DPavH3UtZv+jRG5MIYYIqJ2kFJCHtwF+eG7gKlOUxd3TYR4aBaEl5cduiNybQwxRERtJKsqIZOXQx7/Ulv09YMy8zmIYaP1b4zITTDEEBG1gfz3D1BXLQaKi7TFqBuhJM6HCAvXvzEiN8IQQ0RkBSkl5L4dkFvWAfUmTV2MmwTx4AwIT24fEXU0hhgiIgvJygqo698CTn6tLRr8ocyeC3HLSP0bI3JTDDFERBaQOWfN20elF7XF6P5QEl+C6BKmf2NEbowhhojoOqSqQu79FPKTZKC+XlMXv5kCMelRCE/+cUqkN/5fR0TUAllRDnXtP4HT6dqifyCU2S9ADB6ue19EZMYQQ0TUDHk+E+qqN4CyEm2x70Dz9lFIF/0bI6JGDDFERL8gVRVy9yeQ2zYCqtq0KATEhIch7p8G4eFhnwaJqBFDDBHRf8jyy1DXLgG+/1ZbDAiC8uQ8iIFDdO+LiJrHEENEBECe/Q7q6jeAK5e0xf43Q3niRYjgzvo3RkQtYoghIrcm1XrIz7dAbv8AkNduHykQ9z8Ccd/DEAq3j4gcDUMMEbkteaUM6rtvAmcytMWgzlAS50H0G6x/Y0RkEYYYInJL8kwG1DX/AMova4sDh0J54gWIwGC92yIiKzDEEJFbkfX1kDs+gNz5ESBl06KimG9c95spEIpinwaJyGIMMUTkNuTlUvPJu+e+1xaDu0CZ8xJE34H6N0ZEbcIQQ0RuQX53HOq7S4CKcm1x8K+gzJoLERCof2NE1GYMMUTk0mR9PeSnGyF3fawtenhAxM+AGDeJ20dEToghhohclrxUbN4+On9GW+wcZt4+iu6vf2NEZBMMMUTkkmTGN1DX/ROovKotDomFMvMPEH4BuvdFRLbDEENELkWa6iBTNkDu2aYtenhCPDQT4u77IYTQvTcisq02hZjDhw8jIyMDFy5cQFlZGSorK+Ht7Y2IiAiMHDkS48ePR6dOnSw+3kcffYStW7de9zVLlixBZGRkW9olIjchS36GumoxkHtOWwy9AcqclyGi+urfGBF1iDaFmD179uDcuXOIjIxEVFQU/P39ceXKFZw7dw7Z2dnYv38//vznP6NzZ+ueM9KrVy/07t272ZrBYGhLq0TkJuS3X0NdvxSoqtQWh42G8vizEAZ//Rsjog7TphAzY8YMdOvWDf7+Tf9AuHr1KhYvXoysrCwkJydj7ty5Vh13xIgRSEhIaEtLROSmZF0d5MfrIb/4TFv09IRIeBJi7HhuHxG5oDZdU9i3b19NgAGAgIAATJs2DQBw6tSp9nVGRNQKebEQ6sJXmg8wXbtB+Z/FUO6cwABD5KJsfmKvh4f5Sa9eXl62PjQRUaOqw3tRv/Q1oLpKUxMjboeY/nsIX25DE7kym4aY6upqbNmyBQAwfPhwq9+fm5uLTZs2oaKiAgaDAVFRURg+fDh8fX1t2SYROTFZVwv1o3dRemCXtujlDfFIIsTtv+anL0RuoF0hJiMjA0eOHIGUsvHE3urqagwZMgSPPfaY1cc7fvw4jh8/3uR7BoMBs2bNwpgxY6773rq6OtTV1TV+LYRoDD+2/sOs4Xj8Q7J1nJXlOKvWyaJ8qCsXAj/laovhkfB46hWIHlH6N+bAuK6sw3lZzhFmJaS89jGultu5cyfee++9Jt+Li4vDjBkzEBwcbPFxDh06hNLSUgwdOhShoaEAgLy8PGzbtg0nTpwAADz33HO4/fbbWzzGtZdpR0VFYeHChVb8bojIkVUeSEXZ8r9BNrN9ZLhrAkKe+SMUbh8RuZV2hZgGJpMJJSUlSE9Px8cffwwhBObPn4+BA9v/NNi1a9ciNTUVgYGBSEpKgqdn8x8etfRJTHFxMUwmU7v7+CUhBMLDw1FUVAQbjM+lcVaW46yaJ401UD9YDXl4j7bo7QPlt09D3HY3/+XcAq4r63BeluuoWXl6eiIsLMyy19rqB4aHh2PixIno168fFixYgGXLlmHp0qXw9vZu17ETEhKwZ88elJeX44cffsCAAQOafZ2Xl1eLJxN31EKUUnKRW4izshxn9V+y8CeoKxcB+Rc0Nc9efSCfmAd062F+LWd2XVxX1uG8LGfPWdn8sa19+/ZF9+7dUVpaiuzs7HYfz9/fH0FBQQCA0tLSdh+PiJyDevQLqH99sdkAI+LG4YY3kyEietqhMyJyFB3y7CQfHx8AwJUrV9p9LFVVUVVl3gPnVUpErk8aayA3JUF+tU9b9OkE8djv4HHrXVCseLQJEbkmm4eY8vJyXLhg/pdTREREu4+Xnp4Oo9EIIQSio6PbfTwiclwy/wLUpIVAUZ622L03lKdehgjvrn9jROSQrA4xeXl5yM3NRWxsrOZ8l4KCAqxevRp1dXXo27cvevb870e9qampSE1NRUxMDJ599tnG75eUlCAzMxOjRo3SHC8tLQ1JSUkAzFc9WXPFExE5Dykl5JF/Qb6/Cqir1dTFHb+BmPoEhLePHbojIkdldYi5cuUKli1bhlWrViEqKgqdO3eGyWRCaWkpcnJyIKVEZGQkXnjhhSbvKy8vR0FBgSaIVFRUYPny5VizZg2ioqIQEhKC2tpa5Ofno7CwEABw0003ITExse2/SyJyWLKmCnLDO5BpB7XFTr4QM56FMqLl2ysQkfuyOsT06NEDjzzyCLKyspCfn4/c3FzU19fD398fgwcPxsiRI3HnnXda/NiBLl26YNKkScjOzkZRURFycnJgMpkQGBiIYcOGIS4uDqNHj4ai2PwcZCKyM/ljDtRVi4Gf87XFntFQnnoJomv7t6WJyDVZHWICAwPx4IMPWv2DEhISmn1CdUBAAB599FGrj0dEzktKCXlwF+SH7wKmOk1d3HkfxMOzIfgMNiK6jg65OomIqCWyqhJywwrI9CPaoq8flMefgxg+Wv/GiMjpMMQQkW7khfPmm9cVF2mLvftCmfMSRFi4/o0RkVNiiCGiDielhNy3E3LrWqCZx4CIeyZBTJkB4cntIyKyHEMMEXUoWVkB9b23gG+/1hYN/lBmPQ8xJFb/xojI6THEEFGHkTlnzVcflV7UFqP7Q0l8CaKLZQ96IyK6FkMMEdmclBLyX9sgP0kG6us1dXHvgxCTH4No4an0RESW4J8gRGRTsqIc6rqlwKlvtEX/ACizX4AY/Cv9GyMil8MQQ0Q2I89nQl39BnCpRFvsOxDKk/MhOofq3xgRuSSGGCJqN6mqkLs/gdy2EVDVpkUhIMY/DPHANAgPD/s0SEQuiSGGiNpFXr0Cde0S4LsT2mJAEJQnX4QYOFT/xojI5THEEFGbyXPfmbePLl/SFvsNhvLkPIjgzvo3RkRugSGGiKwm1XrIz7dCbn8fkM1sH018BGJiAoTC7SMi6jgMMURkFXmlDOq7bwJnMrTFoBDzpy/9b9a/MSJyOwwxRGQxeSYD6pp/AOWXtcWBQ6A88QJEYIjufRGRe2KIIaJWSbUe8rMPIXd+CEjZtCgUiEm/hRj/EISi2KdBInJLDDFEdF3ycinU1f8Azn2nLQZ3gZI4H+LGm/RvjIjcHkMMEbVIfnfCfPn01Sva4qDh5rvvBgTq3xgRERhiiKgZsr4e8tONkLs+1hYVBeLBGRDjJnP7iIjsiiGGiJqQl4rN9345f0Zb7BwGZc5LENH99W+MiOgaDDFE1Eie+gbq2n8ClVe1xVtGQpn1PIRfgO59ERE1hyGGiCBNJsiUDZB7UrRFD0+Ihx6HuPsBCCH0b46IqAUMMURuTpb8DHXVYiD3nLbYpSuUp16BiOqrf2NERK1giCFyY/Lbr6GuXwpUVWqLw26F8vhzEAZ//RsjIrIAQwyRG5J1dZAfr4f84jNt0dMTIuEJiLETuH1ERA6NIYbIzcjiIqgrFwEXzmuLYeHm7aNe0fo3RkRkJYYYIjcij38J9b1lQHWVpiZG3A4x/fcQvgY7dEZEZD2GGCI3IOtqIT9aC3ngc23R0wtiWiLE7fdy+4iInApDDJGLkz8XQF25EPgpV1sMj4Ty1MsQ3aP0b4yIqJ0YYohcmHrsIOSGtwFjtaYmRo2FePR3EJ187dAZEVH7McQQuSBZa4T8YDXk4T3aorc3xG+fhhh9N7ePiMipMcQQuRhZ+JP56qP8C9pitx7mq48ie+rfGBGRjTHEELkQ9eg+yE3vALVGTU3cdjfEtKcgfDrZoTMiIttjiCFyAdJYA7l5JeTRL7RFn04Qj/4Oyq136t8YEVEHYoghcnIy/4J5+6jwJ20xspd5+6hbd/0bIyLqYAwxRE5KSgl55F+QH6wCams1dXHHvRBTn4Tw9rFDd0REHY8hhsgJyZoqyI3vQB47qC36+ELM+D2UkXfo3xgRkY4YYoicjPwp17x99HO+ttizD5Q5L0PcEKF/Y0REOmOIIXISUkrIg6mQH64BTHWaurhzAsTDsyG8vO3QHRGR/hhiiJyArK6CTF4OmX5EW/T1g/L4cxDDR+vfGBGRHbUpxBw+fBgZGRm4cOECysrKUFlZCW9vb0RERGDkyJEYP348OnWy/l4Up06dws6dO3H+/HnU1NQgLCwMsbGxiI+Pb9PxiFyBvHDevH1UXKQt9u4LZc5LEGHh+jdGRGRnbQoxe/bswblz5xAZGYmoqCj4+/vjypUrOHfuHLKzs7F//378+c9/RufOnS0+5o4dO5CcnAwhBPr374+goCBkZWUhJSUFx44dw2uvvYbAwMC2tEvklKSUkPt2Qm5dC5hMmrq45wGIKY9DeHrZoTsiIvtrU4iZMWMGunXrBn9//ybfv3r1KhYvXoysrCwkJydj7ty5Fh0vNzcXGzZsgKIoeOWVVzB06FAAgNFoxKJFi3D69GmsXr0a8+bNa0u7RE5HVlZAfe8t4NuvtUWDH5RZz0MMGaV/Y0REDkRpy5v69u2rCTAAEBAQgGnTpgEwbw1ZKiUlBVJKjB07tjHAAICPjw+efvppCCFw7Ngx5Oc3czUGkYuROeeg/mVu8wGmTz8of1rKAENEhDaGmOvx8PAAAHh5WfYRt8lkwrfffgsAiIuL09TDwsLQv39/AEBaWpqNuiRyPFJKXE3ZiPqFLwOlFzV1cW88lJdeh+jS1Q7dERE5HptenVRdXY0tW7YAAIYPH27RewoKCmA0mh9WFx0d3exr+vTpgzNnziA3N9c2jRI5GFl5FXLdUlzOaCao+wdAmTUX4uYR+jdGROTA2hViMjIycOTIEUgpG0/sra6uxpAhQ/DYY49ZdIyLF83/4vTz84Ovr2+zr+nSpQsAoLi4uMXj1NXVoa7uv/fOEEI0Hk8IYVEvlmo4nq2P64o4q9bJ82egrloEXCrRFvsOhEfiSxCdQ/VvzIFxXVmOs7IO52U5R5hVu0JMXl4eDh5setvzuLg4zJgxAwaDwaJj1NTUADCf/9KShsurq6qqWnxNSkoKtm7d2vh1VFQUFi5ciLCwMIv6aIvwcF7WainOSkuqKq5+nIwrye8Aan3TohAIeHgmgh57CsKDt3NqCdeV5Tgr63BelrPnrNr1p+N9992H++67DyaTCSUlJUhPT8fHH3+MkydPYv78+Rg4cKCt+mxVfHw8Jk6c2Ph1QzIsLi6GqZnLU9tDCIHw8HAUFRVBSmnTY7sazqp58uoVqO8ugfzuuLYYEATlyRdRfdMwVF9s+dNHd8Z1ZTnOyjqcl+U6alaenp4WfwBhk3/ieXp6Ijw8HBMnTkS/fv2wYMECLFu2DEuXLoW39/Vvgd7wKUvDeTHNafi05nqf7nh5ebV4MnFHLUQpJRe5hTir/5LnvoO6+g3g8iVNzWfwcJgefw4I6sx5WYDrynKclXU4L8vZc1Y2vzqpb9++6N69O0pLS5Gdnd3q67t2NV9pUVlZierq6mZfU1paCgAdujVE1NGkWg91x4dQ31igDTBCQNw/DWH//9sQwV3s0yARkZPpkM32hvNbrly50uprIyIi4OPjA6PRiOzsbAwaNEjzmpycHADm81yInJEsL4O65k3gTIa2GBQC5YkXoQwcAvGfWxQQEVHrbP5JTHl5OS5cuADAHFBa4+np2XiDuyNHtA+3Ky4uxtmzZwEAI0eOtGGnRPqQZzKg/t/zzQeYAbdA+dM/IQbcon9jREROzuoQk5eXh8OHD6O2tlZTKygowJIlS1BXV4e+ffuiZ8+ejbXU1FTMnTsXy5cv17xv8uTJEELgwIEDOHnyZOP3jUYjkpKSoKoqYmNjERkZaW27RHYj1Xqon26GuuRPQPnlpkWhQEx+DMrc/4MIDLFLf0REzs7q7aQrV65g2bJlWLVqFaKiotC5c2eYTCaUlpYiJycHUkpERkbihRdeaPK+8vJyFBQUIDg4WHPMPn36YPr06UhOTsbrr7+OgQMHIjAwEFlZWSgrK0NERAQSExPb/Jsk0pu8XGrePjp7WlsM7gwlcT7EjdqtUyIispzVIaZHjx545JFHkJWVhfz8fOTm5qK+vh7+/v4YPHgwRo4ciTvvvNPixw40mDhxInr27IkdO3bg/PnzMBqNCA0NxeTJkxEfH9/ijfCIHI38/luo774JXG3mnLBBw6DMfgEiIEj/xoiIXIzVISYwMBAPPvig1T8oISEBCQkJ133NzTffjJtvvtnqYxM5AllfD/npJshdW7VFRYGInw7x63gIxeanohERuSXeCpTIBuSlEvO9X85naoudQ6EkvgQRM0D/xoiIXBhDDFE7ydPpUNcuASquaou3jIQy8w8Q/oH6N0ZE5OIYYojaSJpMkNs2QO5O0RY9PCCmzIS45wE+SI6IqIMwxBC1gSy9CHXVYiDnrLbYpSuUp16GiLpR/8aIiNwIQwyRleTJr6GuWwpUVWqLw26F8vhzEAZ//RsjInIzDDFEFpKmOsit6yG/+Exb9PSEeHg2xJ33cfuIiEgnDDFEFpDFRVBXLgIunNcWw8LN20e9YvRvjIjIjTHEELVCHv8S6nvLgOoqTU38Kg5ixrMQvgY7dEZE5N4YYohaIOtqIT9aC3ngc23R0wvikUSIO+7l9hERkZ0wxBA1Q/5cAHXVIuDHHG3xhkjz9lGPKP0bIyKiRgwxRNdQ0w5BJq8AjNWamogdA/HY7yA6cfuIiMjeGGKI/kPWGiE/XAN5aLe26O0NMe0piNvu4fYREZGDYIghAiAL86CuXAjkX9AWu/Uwbx9F9tK/MSIiahFDDLk99eg+yE3vALVGTU2Mvhvit09B+HSyQ2dERHQ9DDHktqSxBnLzSsijX2iL3j4Qj/4Oyui79G+MiIgswhBDbknm/2jePir8SVuM7AXlqVcgunXXvzEiIrIYQwy5FSkl5Jd7Id9fCdTWauri9l+b7//i7WOH7oiIyBoMMeQ2ZE015Ma3IY8d1BZ9fCGmPwMldoz+jRERUZswxJBbkD/lmp999HO+ttgjyrx9dEOE/o0REVGbMcSQS5NSQh7aDfnBasBUp6mLsRMgEmZDeHnr3xwREbULQwy5LFldBblhBeQ3h7VFXwOUx5+DGH6b/o0REZFNMMSQS5IXss1XHxUXaYu9Ysw3rwsL178xIiKyGYYYcilSSsj9OyG3rAVMJk1d3H0/xJSZEF5eduiOiIhsiSGGXIasqoD63jLgxFfaosEPysznIYaO0r8xIiLqEAwx5BJk7jnz1UelF7XFqBvN20dduurfGBERdRiGGHJqUkrIvdshP34PqG9m++jX8RDx0yE8udSJiFwN/2QnpyUrr0JdtxTISNMW/QOgzJoLcfMI/RsjIiJdMMSQU5Lnz0BdvRi4VKItxgyAkvgSROdQ/RsjIiLdMMSQU5GqCrknBTJlA6CqmroY/xDEpEchPDzs0B0REemJIYachrx6BerafwLfHdcWA4KgzH4BYtAw3fsiIiL7YIghpyDPfQd19RvA5UvaYr/BUJ58ESK4i/6NERGR3TDEkEOTqgq5ayvkp5sBec32kRAQ902FuH8qhMLtIyIid8MQQw5LlpdBfXcJkHlSWwwMhvLkPIgBt+jeFxEROQaGGHJI8kwG1HffBK6UaYsDboHyxIsQQSH6N0ZERA6DIYYcilTrIXd8CLnjQ0DKpkWhQDwwDWLCQ9w+IiIihhhyHPLyJahr/gGcPa0tBneG8uR8iH6D9G+MiIgcEkMMOQT5/bfm7aOrV7TFQcPMl08HBOnfGBEROSyGGLIrWV8PuX0z5K6t2u0jRYGYPB3i3ngIRbFPg0RE5LAYYshu5KUSqGveAH7I1BZDQqHMmQ8RM1D/xoiIyClYHWJMJhPOnDmDkydPIjMzE4WFhTAajfD390dMTAzGjRuHYcOsu2vqRx99hK1bt173NUuWLEFkZKS17ZKDkqfToa5dAlRc1RZvHgFl1vMQ/oH6N0ZERE7D6hCTmZmJv/71rwCA4OBg9O/fHz4+PsjLy8Px48dx/Phx3HPPPUhMTIQQwqpj9+rVC7179262ZjAYrG2VHJA0mSC3bYDcnaItenhAPPg4xLhJVq8dIiJyP1aHGEVREBsbiwkTJmDAgAFNakePHsVbb72FvXv3ol+/fhgzZoxVxx4xYgQSEhKsbYmchCy9CHXVYiDnrLbYpSuUOS9B9Omnf2NEROSUrA4xgwYNwqBBzV/mOnr0aJw6dQr79u3DoUOHrA4x5LrUb7+Gum4pUFWhLQ4ZBWXmHyD8/PVvjIiInJbNT+xt2A4qKSmx9aHJCUlTHcpW/QPqp+9ri56eEA/NhrjrPm4fERGR1WweYoqKigAAISHW3xI+NzcXmzZtQkVFBQwGA6KiojB8+HD4+vrauk3SgSwugrpqMSr+/YO2GBYO5amXIXrF6N8YERG5BJuGmMuXL+PAgQMAgNjYWKvf33Bi8C8ZDAbMmjWr1a2puro61NXVNX4thGgMP7b+V37D8fjpQcvU419CXb8MqK7U1MSvboMy4zkIg58dOnNcXFeW46wsx1lZh/OynCPMSkh57R3G2qa+vh5/+9vfcPr0afTs2RN///vf4elpWUY6dOgQSktLMXToUISGhgIA8vLysG3bNpw4cQIA8Nxzz+H2229v8RjXXqYdFRWFhQsXtuN3RG0ha424/O4/UbFji7bo5Y2QOS/Cb/wU/gFBRETtZrMQk5SUhH379iEgIAB/+ctfEBERYYvDYu3atUhNTUVgYCCSkpJaDEYtfRJTXFwMk8lkk15+eezw8HAUFRXBRuNzCfLnAtSvXAj8mKMt3hABj6degejZR//GnATXleU4K8txVtbhvCzXUbPy9PREWFiYZa+1xQ9ct24d9u3bBz8/PyxYsMBmAQYAEhISsGfPHpSXl+OHH37QXNbdwMvLC15eXs3WOmohSim5yP9DTTsEuWEFUFOtqRnG/gbGh2YBPr6clwW4rizHWVmOs7IO52U5e86q3SEmOTkZu3btagwwUVFRtuirkb+/P4KCglBWVobS0lKbHpvaT9YaIT9cA3lot7bo5Q3lt0+h88Mz+K8aIiKyuXaFmI0bN2LHjh0wGAx49dVXER0dbau+GqmqiqqqKgDgVUoORhbmQV25EMi/oC126wHlqZehdO/N81+IiKhDtDnEbNq0Cdu3b4fBYMCCBQsQE9Mxl8qmp6fDaDRCCNEhIYnaRv1qP+SmdwBjjaYmbr0L4tGnIXw62aEzIiJyF20KMR988AE+/fRT+Pn54dVXX7UowKSmpiI1NRUxMTF49tlnG79fUlKCzMxMjBo1Ct7e3k3ek5aWhqSkJABAXFwcgoOD29Iu2ZA01kC+vxLyyy+0RW8fiEefhjL6bv0bIyIit2N1iElPT8cnn3wCAAgPD8fu3buxe7f2fIiAgADMmDGj8evy8nIUFBRogkhFRQWWL1+ONWvWICoqCiEhIaitrUV+fj4KCwsBADfddBMSExOtbZVsTOb/aN4+KvxJW4zsZb55Xbce+jdGRERuyeoQU1Hx32ffZGdnIzs7u9nXhYWFNQkxLenSpQsmTZqE7OxsFBUVIScnByaTCYGBgRg2bBji4uIwevRoKIpibatkI1JKyKNfQG5OAmprNXVx+68hpiZC+PjYoTsiInJXVoeYsWPHYuzYsVb/oISEhGafUB0QEIBHH33U6uORPmRNNeSmdyC/PqAt+vhCTH8GSiwf9ElERPqz+bOTyHXIvFyoKxcBRfnaYvco8/ZReKT+jREREYEhhpohpYQ8tBvyg9WAqU5TF2PHQyQ8AeHlrX0zERGRThhiqAlZXQW5YQXkN4e1RV8DxPRnoYyI078xIiKiazDEUCN5IRvqqkXAxUJtsVcMlDkvQXTtpn9jREREzWCIIfP20f6dkFvWAs08LFPcfT/ElJkQLTybioiIyB4YYtycrKqA+t5y4MRRbdHgB2Xm8xBDR+nfGBERUSsYYtyYzP3BvH1U8rO2GHWjefso9Ab9GyMiIrIAQ4wbklJCfrEdcut7QH0z20e/ngwRPx3Ck9tHRETkuBhi3IysvAp13VIgI01b9AuAMmsuxC0j9G+MiIjISgwxbkRmZ0FdtRi4VKwtxgyAkjgfonOY/o0RERG1AUOMG5CqCrknBTJlA6CqmroYPwXigUchPLkciIjIefBvLRcnr5ZDXbsE+O64tugfCOWJFyAGDde/MSIionZiiHFh8tz3UFe/AVwu1RZvvAnKk/MhQrro3xgREZENMMS4IKmqkLu2Qn66GZDXbB8JAXFfAsTERyA8POzTIBERkQ0wxLgYWV4G9d0lQOZJbTEwGMoTL0IMHKJ3W0RERDbHEONCZNYpqGv+AVwp0xb73wzlyXkQQSH6N0ZERNQBGGJcgFTrIXd8BLnjw2a2jxSIBx6BmPAwhMLtIyIich0MMU5OXr5k/vTl7GltMaiz+d4v/Qbp3xgREVEHY4hxYjLzW6hr3gSuXtEWbxoKZfYLEIHBuvdFRESkB4YYJyTr6yG3vw+5awsgZdOiokBMfgzi3gchFMU+DRIREemAIcbJyEslUNe8AfyQqS2GhJq3j/oO1L8xIiIinTHEOBF5Ot18992Kq9ri4F9BmT0Xwj9Q/8aIiIjsgCHGCUiTCXLbBsjdKdqihwfEgzMg7pnE7SMiInIrDDEOTpYWQ129GMjO0ha7dDVvH0X3178xIiIiO2OIcWDy5DGo65YCVRXa4pBRUGb+AcLPX//GiIiIHABDjAOSpjrIj5Mh936qLXp4Qjw8C+KuiRBC6N8cERGRg2CIcTCyuAjqqsXAv3/QFsPCocx5CaJ3X/0bIyIicjAMMQ5EnjgKdf0yoLpSWxw+GsqM5yAMfvo3RkRE5IAYYhyArKuF3LIOcv9ObdHTC2LqExBjxnP7iIiI6BcYYuxMXiyAunIR8GOOttg1AspTL0P07KN/Y0RERA6OIcaO1G8OQyYvB2qqNTUx8g6I6c9AdDLYoTMiIiLHxxBjB7LWCPnhu5CHUrVFL2+IaXMg4sZx+4iIiOg6GGJ0JovyzNtHef/WFsO7m7ePuvfWuy0iIiKnwxCjI/Xr/ZAb3wGMNZqauPVOiN8+DdHJ1w6dEREROR+GGB1IoxHy/ZWQX+7VFr19IH77NJTb7ta/MSIiIifGENPBZMGPUJMWAoU/aYsRPc3bRxE99W+MiIjIyTHEdBApJeTRLyA3JwG1tZq6iBsH8cgcCB8fO3RHRETk/BhiOoCsqYbclAT59X5t0acTxGPPQBk1Vve+iIiIXAlDjI3JvFzz1UdF+dpi9yjz9lF4pP6NERERuRirQ4zJZMKZM2dw8uRJZGZmorCwEEajEf7+/oiJicG4ceMwbNiwNjVz6tQp7Ny5E+fPn0dNTQ3CwsIQGxuL+Ph4dOrUqU3H1IuUEvLwbsgP1gB1zWwfjfkNxNQnIby87dAdERGR67E6xGRmZuKvf/0rACA4OBj9+/eHj48P8vLycPz4cRw/fhz33HMPEhMTrbpZ244dO5CcnAwhBPr374+goCBkZWUhJSUFx44dw2uvvYbAwEBr29WFrK6C3LAC8pvD2mInX4gZz0EZEad/Y0RERC7M6hCjKApiY2MxYcIEDBgwoEnt6NGjeOutt7B3717069cPY8aMseiYubm52LBhAxRFwSuvvIKhQ4cCAIxGIxYtWoTTp09j9erVmDdvnrXtdjj5Y7Z5++hiobbYM9q8fdS1m/6NERERuTjF2jcMGjQI8+bN0wQYABg9ejTGjh0LADh06JDFx0xJSYGUEmPHjm0MMADg4+ODp59+GkIIHDt2DPn5zZxnYidSSqj7dkJ9/aVmA4y4ayKUPy5igCEiIuogVoeY1vTu3RsAUFJSYtHrTSYTvv32WwBAXJx2yyUsLAz9+/cHAKSlpdmmyXaSVRUoff2PUDcnASZT06KvH5Tf/RHKtDkQXl72aZCIiMgN2PzqpKKiIgBASEiIRa8vKCiA0WgEAERHRzf7mj59+uDMmTPIzc21TZPtIHN/gLpqEapLftYWo26EkjgfIixc/8aIiIjcjE1DzOXLl3HgwAEAQGxsrEXvuXjxIgDAz88Pvr7NPzeoS5cuAIDi4uIWj1NXV4e6urrGr4UQjcezxdOgpZSQe7dD3boeqDdp6mLcZChTZkB48tOXX2qYPZ/I3TrOynKcleU4K+twXpZzhFnZLMTU19dj2bJlqKqqQs+ePTFu3DiL3ldTY34Yos917lzbcHl1VVVVi69JSUnB1q1bG7+OiorCwoULERYWZlEfrZF1dfj5xFGo1wQYxT8QnV/8M3xj77DJz3FV4eH8dMpSnJXlOCvLcVbW4bwsZ89Z2SzErF69GqdPn0ZAQABefPFFeHrqex+9+Ph4TJw4sfHrhmRYXFwM07XnrbSRnP0C8NrzQLU5TImYARCJ83G5S1dcLmzm6iSCEALh4eEoKiqClNLe7Tg0zspynJXlOCvrcF6W66hZeXp6WvwBhE2Sxrp167Bv3z74+flhwYIFiIiIsPi9DZ+yNJwX05yGT2sMBkOLr/Hy8oJXCyfS2my4oTdAefw5qCsXIWDKDFTdMxnw8OBCt4CUknOyEGdlOc7KcpyVdTgvy9lzVu0OMcnJydi1a1djgImKirLq/V27dgUAVFZWorq6utnzYkpLSwHAZltD7SGG3waP/1uO4OGxqC4s5CInIiKyk3ZdYr1x40bs2LEDBoMBr776aotXF11PRERE4/kw2dnZzb4mJycHAKwOSB1FRPS0dwtERERur80hZtOmTdi+fTsMBgMWLFiAmJiYNh3H09Oz8QZ3R44c0dSLi4tx9uxZAMDIkSPb2i4RERG5mDaFmA8++ACffvpp4xaSJQEmNTUVc+fOxfLlyzW1yZMnQwiBAwcO4OTJk43fNxqNSEpKgqqqiI2NRWQkn/5MREREZlafE5Oeno5PPvkEgPmyqt27d2P37t2a1wUEBGDGjBmNX5eXl6OgoADBwcGa1/bp0wfTp09HcnIyXn/9dQwcOBCBgYHIyspCWVkZIiIikJiYaG2rRERE5MKsDjEVFRWNv87Ozm7xPJawsLAmIaY1EydORM+ePbFjxw6cP38eRqMRoaGhmDx5MuLj41u8ER4RERG5J6tDzNixYxsf8miNhIQEJCQkXPc1N998M26++Warj01ERETux+YPgCQiIiLSA0MMEREROSWGGCIiInJKDDFERETklBhiiIiIyCkxxBAREZFTsslTrB2Zp2fH/RY78tiuhrOyHGdlOc7KcpyVdTgvy9l6VtYcT0g+hpmIiIicELeT2qC6uhqvvPIKqqur7d2Kw+OsLMdZWY6zshxnZR3Oy3KOMCuGmDaQUiI3Nxf8EKt1nJXlOCvLcVaW46ysw3lZzhFmxRBDRERETokhhoiIiJwSQ0wbeHl54aGHHoKXl5e9W3F4nJXlOCvLcVaW46ysw3lZzhFmxauTiIiIyCnxkxgiIiJySgwxRERE5JQYYoiIiMgpufV9lQsKCpCRkYGcnBzk5OQgPz8fqqpi6tSpmDJlSpuPe+rUKezcuRPnz59HTU0NwsLCEBsbi/j4eHTq1MmGvwP92HpWH330EbZu3Xrd1yxZsgSRkZFtbdkuTCYTzpw5g5MnTyIzMxOFhYUwGo3w9/dHTEwMxo0bh2HDhrXp2K62rjpiVq66rgDg8OHDyMjIwIULF1BWVobKykp4e3sjIiICI0eOxPjx49u0DlxtXTWw9bxceW1da+PGjdi+fTsAtPnPeL3WlVuHmD179uDzzz+36TF37NiB5ORkCCHQv39/BAUFISsrCykpKTh27Bhee+01BAYG2vRn6qEjZgUAvXr1Qu/evZutGQwGm/+8jpaZmYm//vWvAIDg4GD0798fPj4+yMvLw/Hjx3H8+HHcc889SExMhBDC4uO64rrqqFkBrreuAPP/g+fOnUNkZCSioqLg7++PK1eu4Ny5c8jOzsb+/fvx5z//GZ07d7b4mK64rhp0xLwA11xbv3T27Fl89tlnEEK0+SZ2eq4rtw4xPXr0wP3334+oqChERUUhJSUFhw4davPxcnNzsWHDBiiKgldeeQVDhw4FABiNRixatAinT5/G6tWrMW/ePFv9FnRj61k1GDFiBBISEmzQoWNQFAWxsbGYMGECBgwY0KR29OhRvPXWW9i7dy/69euHMWPGWHRMV11XHTGrBq62rgBgxowZ6NatG/z9/Zt8/+rVq1i8eDGysrKQnJyMuXPnWnQ8V11XDWw9rwauuLYaGI1GvP322wgJCUF0dDS++eYbq4+h97py63Ni7r77bkyfPh1xcXGIjIy0+l9710pJSYGUEmPHjm38DwcAPj4+ePrppyGEwLFjx5Cfn9/e1nVn61m5qkGDBmHevHmav5QBYPTo0Rg7diwAWBUAXXVddcSsXFnfvn01fyEDQEBAAKZNmwbA/BG+pVx1XTWw9bzcwebNm1FYWIg5c+a0+VMlvdeVW4cYWzKZTPj2228BAHFxcZp6WFgY+vfvDwBIS0vTtTdyHA0fQ5eUlFj0endeV9bOyp15eHgAgMU3HXPndQVYPy938P333yM1NRV33HFHm8/bs8e6cuvtJFsqKCiA0WgEAERHRzf7mj59+uDMmTPIzc3VszWHlpubi02bNqGiogIGgwFRUVEYPnw4fH197d1ahygqKgIAhISEWPR6d15X1s7ql9xpXVVXV2PLli0AgOHDh1v0HndeV22Z1y+54tqqqanBO++8g6CgIMycObPNx7HHumKIsZGLFy8CAPz8/FpczF26dAEAFBcX69aXo2s4gfOXDAYDZs2aZfV5EI7u8uXLOHDgAAAgNjbWove467pqy6x+yZXXVUZGBo4cOQIpZeOJqtXV1RgyZAgee+wxi47hTuvKFvP6JVdcW8nJybh48SLmz5/f7BacpeyxrhhibKSmpgaAed+vJQ2XlVVVVenSkyMLDw/HtGnTMHToUISGhgIA8vLysG3bNpw4cQIrVqyAoii4/fbb7dypbdTX12PZsmWoqqpCz549MW7cOIve547rqq2zAtxjXeXl5eHgwYNNvhcXF4cZM2ZYfB6DO60rW8wLcN21lZGRgb1792L06NEYOXJku45lj3XFEEN2cccdd2i+179/f/zxj3/E2rVrkZqaivfeew+33norPD2df5muXr0ap0+fRkBAAF588UWX+D11lPbMyh3W1X333Yf77rsPJpMJJSUlSE9Px8cff4yTJ09i/vz5GDhwoL1bdCi2mpcrrq2qqiokJSUhMDAQs2fPtnc7bcITe22kIV027Ac2pyGlusK9BDpSQkICFEVBeXk5fvjhB3u3027r1q3Dvn374OfnhwULFiAiIsLi97rbumrPrFrjauvK09MT4eHhmDhxIv73f/8XlZWVWLZsGWpra1t9r7utK6B982qNs66t9evXo7S0FLNnz7bJfVvssa6cIy46ga5duwIAKisrUV1d3ex+YGlpKQDzGdrUMn9/fwQFBaGsrKxxZs4qOTkZu3btavxLOSoqyqr3u9O6au+sWuNK6+paffv2Rffu3fHTTz8hOzu72cvWf8md1lVzrJ1Xa5x1baWlpcHDwwN79uzBnj17mtQaLoHet28fTp8+jeDg4FbvqWOPdcUQYyMRERHw8fGB0WhEdnY2Bg0apHlNTk4OANj8D2dXo6pq436pM5/xv3HjRuzYsQMGgwGvvvpqi2frX4+7rCtbzKo1rrKuWtJwHsKVK1dafa27rKvrsWZerXHmtVVfX4/MzMwW68XFxSguLrYodNhjXTHE2IinpyeGDh2Kr7/+GkeOHNH8xysuLsbZs2cBoN0nT7m69PR0GI1GCCE65C8zPWzatAnbt2+HwWDAggULEBMT06bjuMO6stWsWuMK66ol5eXluHDhAgBYtAXnDuvqeqydV2ucdW2tX7++xdqKFStw8OBBq56dZI91xXNirJSamoq5c+di+fLlmtrkyZMhhMCBAwdw8uTJxu8bjUYkJSVBVVXExsa6xAPCLNHSrEpKSnDo0KFm96LT0tKQlJQEwHwFQXBwsB6t2tQHH3yATz/9tHFbxJK/lN11XdlyVq68rvLy8nD48OFmf28FBQVYsmQJ6urq0LdvX/Ts2bOx5q7rytbzcuW11RaOtK7c+pOYnJwcvPvuu41fN9xca+/evThx4kTj9+fPn994w63y8nIUFBQ0u1D79OmD6dOnIzk5Ga+//joGDhyIwMBAZGVloaysDBEREUhMTOzY31QHseWsKioqsHz5cqxZswZRUVEICQlBbW0t8vPzUVhYCAC46aabnHJW6enp+OSTTwCYL8ncvXs3du/erXldQEAAZsyY0fi1O64rW8/KldfVlStXsGzZMqxatQpRUVHo3LkzTCYTSktLkZOTAyklIiMj8cILLzR5nzuuK8D283LltdUWjrSu3DrEVFdXN3smeWlpaZOTs+rq6iw+5sSJE9GzZ0/s2LED58+fh9FoRGhoKCZPnoz4+Hin2y9tYMtZdenSBZMmTUJ2djaKioqQk5MDk8mEwMBADBs2DHFxcRg9ejQUxfk+KKyoqGj8dXZ2NrKzs5t9XVhYWJO/mFvjiuvK1rNy5XXVo0cPPPLII8jKykJ+fj5yc3NRX18Pf39/DB48GCNHjsSdd95p9W30XXFdAbaflyuvrY6g57oSsq3P2iYiIiKyI8ZGIiIickoMMUREROSUGGKIiIjIKTHEEBERkVNiiCEiIiKnxBBDRERETokhhoiIiJwSQwwRERE5JYYYIiIickoMMUREROSUGGKIiIjIKTHEEBERkVNiiCEiIiKn9P8AGqcK+xNxy1EAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.style.use('file/presentation.mplstyle')\n",
    "plt.plot([1,2,3,4],[2,3,4,5])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "值得特别注意的是，matplotlib支持混合样式的引用，只需在引用时输入一个样式列表，若是几个样式中涉及到同一个参数，右边的样式表会覆盖左边的值。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x1ca5cabfd88>]"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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9Vfr4rQyVQ4ybmxumT5+Obdu2Yf/+/areXOTOnTvw8/PDkSNHcP/+fQCAo6MjfH19MXToUGzZsgUlJSWIioqqch0/Pz8EBQWJro+Ojq5xj5VJTEystbW1DWelPM5KeZyV8jiriqU9y8OhhFt4UpAvqjU2NsXbHZzgu2OPBJ1pDin3lh4AQdmDLSws8Ndff8HY2BiOjo548uRJWW3Tpk2YNGkSAgICsGzZMrU0t379esyZMwepqamwtrZGUVFRpcf++5kYJycnREdHw9XVFZcuXVJLP6XMzc2RmJiI1q1bIyeH34tRFc5KeZyV8jgr5XFWlesyZACGeH8AQxMTUe3y4eM4sGo9igsLJehMM9TW3ip9/HZxcUFMTEyVx6r0TMy6detgY2OD0aNHlwswtSUoKAgzZ85Es2bN0KNHD5w9e7bSYwsLC1H4j82Wm5tb9s/a+g83JyeHfykoibNSHmelPM5KeZzV/xiZmmJEwDx0dX9LVCvIzYNHp5cRFDKA81KSuvdW6eO3MlQKMR4eHigqKsLMmTMxc+bMcjUHBwcAwNSpU9G/f38kJydj3LhxqiwvkpGRgdTUVLRq1QrW1tY1WouIiKilfXt4hS1DM7s2olpi3E3sCQqF39U4CTqj6lD5nBhDQ0P07du30rqdnR3s7OwQHx9fg7b+JpPJ0LBhQwBgIiYiohp5deQwDPf9CIb/OPWg1Lnvd+PA6k9hWkGN6i+VPifG0tISenp6FV42b94MAAgICICenh7s7Oxq3Jy7uzvkcjkUCgUuXLhQ4/WIiEj3GMsbYMLKYIwK9BUFmPycpwj39seeZWE8/0UDqeULIJ9n1qxZiIuLQ3h4eLnrbWxsMH78+HIn5JYaNmwYvvnmGwDA1q1bkZKSUhetEhGRFmntYI+Ptm+G8+ABolrC1TisHT0Jl388JUFnpA41/gJIZTRp0gQODg5ITk4ud72VlRUiIyOxYcMGxMTEIDExEaampnB0dIS9vT0A4NSpU5gxY0ZdtElERFrktbEj4D5vDgyMjES1nyO244e1X6Ckine9Uv1XJyGmMgkJCVixYgW6deuGDh06wMXFBUZGRkhLS8PBgwcRFRWF7du3QxCUfhc4ERHpOBNzM4wO8oPTgDdFtbzsbGxftAx/nfpZgs5I3dQWYiZPnozJkydXWAsODq7wG6rT09Ph5+enrhaIiEjH2bzQGRPDlqKxdWtR7f6lvxAxfxEyHiVXcEvSRJI+E0NERKQurhPG4O2PZ8HAUPzVAKc3bcXhTzdAUVwiQWdUWxhiiIhIo5laWGBsiD9efON1US03MwvbFi5BXPQvEnRGtY0hhoiINFYbpxcxYdUSWLVqKardu3gJkfMXIzMlVYLOqC4wxBARkcbR09NDn3c9MXjOdOgbih/KTnwdjmNffA1FCV8+0mYMMUREpFHkjRpi7LJFcHz9NVEt50k6ti1cghu//C5BZ1TXGGKIiEhj2Lk4YcKqJWjUvJmodvuPi9i6IBDZj9Mk6IykwBBDRET1np6eHt6c6oWBs6ZB36D8Q5dCocCJjZtwfOMmvnykYxhiiIioXjOzsoRnaCA69eohqmWnPUGUbxBu/c7v19NFDDFERFRvte/mggkrg2HRtImodvO3PxDlG4ScJ+kSdEb1AUMMERHVO3oyGdzemwS36VMg09cvV1OUlODYl9/g5DdbICgUEnVI9QFDDBER1SvmTRpjfGgQOr7aVVTLSnmMSN9A3L0QI0FnVN8wxBARUb1h37MbPEODYN7YSlSLO/srti1cgtyMzLpvjOolhhgiIpKcTF8fA2ZORb9p70Imk5WrlRQX48hnG/HTpq0QBEGiDqk+YoghIiJJWTRrigmrgtH+FWdRLTM5BRHzFiM+9rIEnVF9xxBDRESScej9KsYtWwwzK0tR7epPZ/F9wFLkZWVL0BlpAoYYIiKqczIDfbw1+328OWWiqFZSVIwf1n2Bn7d8L0FnpEkYYoiIqE41atEcE1YtgZ3zy6JaemISIuYF4MGVaxJ0RpqGIYaIiOrMC317Y2zIIjRoaCGqXTl5BtsXL0N+do4EnZEmYoghIqJap29ggCEfzUQfr3GiWnFREQ6GfYazUTsl6Iw0GUMMERHVKqvWLTFh1VK0efkFUS0t4SEifBbh4bXrEnRGmo4hhoiIas1L/fpgzBJ/mFqYi2qxx05iZ1Aonj3NlaAz0gYMMUREpHb6hoZw95mN3p6jRLWiggLsX7kev+7cK0FnpE0YYoiISK0a21hjYthS2Dg6iGqP4x9gi08AHt24JUFnpG0YYoiISG2cBvbD6CA/mJjJRbWLh45h15JVKMjLk6Az0kYMMUREVGMGxsYYNv9D9BrtIaoVPSvAnuVrcH7vQQk6I23GEENERDXStK0tvMJC0KpTR1Et5W48tnj7I/n2XQk6I23HEENERNXmMmQARi5eAOMGDUS1P/Yfwp5lYSjMfyZBZ6QLGGKIiEhlhibG8PD9GD1GuItqBXn52LMsDBcOHJagM9IlDDFERKSS5u3aYmJYCFp2bC+qJd26gwifAKTcja/7xkjnMMQQEZHSug0bjHf858HI1ERU+23XfuxbuRZFzwok6Ix0EUMMERE9l5GpKd7x90G3YYNFtWe5udi1ZBViDv8oQWekyxhiiIioSi06todXWAiat2srqiVev4ktPgFIu59Q942RzmOIISKiSvUY4Q4P349haGIsqp37fjcOrP4UxYWFEnRGxBBDREQVMJY3wKjFC+A8eIColp/zFDuDV+DSsZMSdEb0PwwxRERUTmsHe0wMC0HTNjaiWsLVOET4LMKTh4kSdEZUHkMMERGV6TXmHQyb/yEMjIxEtZ8jt+OHT75ASVGRBJ0RiTHEEBERTMzkGB28EE4D3hTV8rKzsX3Rcvx16owEnRFVjiGGiEjHWTs6wGtNCBpbtxbV7l++ioh5Ach4lCxBZ0RVY4ghItJhruNH423vD2BgaCiq/bQ5CofXb0BJcbEEnRE9n0wdi6xcuRKCIEAQBPj7+1drjX79+uHQoUN4/Pgx8vLyEBcXh5CQEMjlcnW0SERE/2BqYYHJ61dguO9HogCTm5mFb2b54OCazxhgqF6rcYjp2bMnvL29oVAoqr3G3LlzceLECQwaNAhXr17FwYMH0bBhQ/j7++PChQto3LhxTdskIqL/Z/vyC/h452a8+GYfUe3exUv4ZKQX4n4+J0FnRKqpUYgxNTXF5s2bkZSUhP3791drjS5dumDNmjUoLi7GkCFD0LdvX4wZMwbt27fHiRMn4ODggK+++qombRIREQA9PT30fdcTH2z+ClatWorqJ7/Zgi+nzkJmSqoE3RGprkYhJjQ0FPb29njvvfeQlZVVrTX8/Pwgk8mwadMmHD16tOz6/Px8TJ06FSUlJRg5ciQ6depUk1aJiHRag4YWmPLZagz1mQ19w/KnQz5Nz8B/p3+Ew+s3QFFcIlGHRKqrdojp06cPZs+ejfDwcBw5cqRaaxgaGmLIkCEAgKioKFH9wYMHOHfu76c0PTw8qtsqEZFOS8zNxvubN8Cxz2ui2p0LMVgz6l3cOPebBJ0R1Uy1QoxcLsd3332HlJQUzJ07t9q/3N7evuzE3QsXLlR4TOn1zs7O1f49RES6SE9PD70njsWOe9fQsHnTcjWFQoEfv/oOX02bjezUxxJ1SFQz1XqLdVhYGNq1a4fhw4cjMzOz2r/czs4OAJCRkYGnT59WeExCQkK5YytjZGQEY+P/fUFZaTiSy+UwNzevdo8VKV1P3etqI85KeZyV8jir55NbNoLH4vno0KMrhH/Vnj5Jx57glbh7IQbyBg0k6a++4t5SXm3NSpV3JascYtzc3DB9+nRs27at2ifzliq947m5uZUeUxpuLCwsqlzLz88PQUFBouujo6Or3+BzJCbyu0OUxVkpj7NSHmdVsYSnWTj88DZyi8VfD2Ajt8DgTi5YfGqwBJ1pDu4t5Uk5K5VCjIWFBb799lukpqZi9uzZtdVTtYSGhuKTTz4p+9nJyQnR0dFwdXXFpUuX1Pq7zM3NkZiYiNatWyMnJ0eta2sbzkp5nJXyOKuK6clkeP3dcegzZQJk+vrlaoqSEvz0bSSit2yDUIOPxNB23FvKq61ZlT5+K0OlELNu3TrY2Nhg9OjRePLkSbWa+6fSO13VU0dmZmYAgOzs7CrXKiwsRGFhYdnPpc/u5Obm1tpGzMnJ4SZXEmelPM5KeZzV/5g3toLnimB0fLWrqCY3MMQXs3xwhZ/9ojTuLeWpe1ZVvTrzbyqFGA8PDxQVFWHmzJmYOXNmuZqDgwMAYOrUqejfvz+Sk5Mxbty4KteLj48HAFhaWsLMzKzC82JsbGzKHUtEROV1fLUbPEMDYdFE/MGgt3/7A2GTpmNezGUJOiOqXSqfE2NoaIi+fftWWrezs4OdnZ1SoePGjRvIzc2FXC5H165d8dNPP4mO6dr17/+ruHjxoqqtEhFpNZm+PgbMmIp+/3kXMln5N5uWFBfj6Of/xYWd+/HltPr18j+Ruqj0FmtLS0vo6elVeNm8eTMAICAgAHp6es99NxEAFBUV4dChQwAAT09PUd3W1ha9evUCAOzdu1eVVomItJpFs6aY/s1ncHt/sijAZCanYMOUWTj1bQQE4d/vTSLSHmr5AsjnmTVrFuLi4hAeHi6qrVixAgqFApMnT8bAgQPLrjc1NcW3334LAwMD7Nq1Czdu3KiLVomI6r1Or70K753haN9V/PlZ186cw5qRXrjHl49IB1Trc2JU1aRJEzg4OCA5OVlUi4mJgbe3N9auXYvDhw/jzJkzSE1NhaurK1q1aoXr169j+vTpddEmEVG9JjPQx1sfvIc3p3qJaiVFxTi07kv8HPE9n30hnVEnIeZ51q1bhytXrsDb2xvdu3eHXC7HgwcPsHz5coSGhlb6QXhERLqiUfNmmLB6KeycXxbV0hOTEDF/ER5cvipBZ0TSUVuImTx5MiZPnlxhLTg4GMHBwVXe/uTJkzh58qS62iEi0hqOfXpjbEgA5I0aimpXTp7B9sXLkJ/NtwOT7qkXz8QQEZGYvoEBBs+dgb7vit/4UFxUhINhn+Fs1E4JOiOqHxhiiIjqIctWLTBxdQjavPyCqJaW8BARPovw8Np1CTojqj8YYoiI6pkX3+yDMUsXokEF3xl36cdT2BG4HM+eKv+ppkTaiiGGiKie0Dc0xFDvD+A6frSoVlRQgP2r1uPXHfzMLKJSDDFERPVAY+vWmBi2FDYvdBbVHsc/wBafADy6cUuCzojqL4YYIiKJOQ3sh9FBfjAxE38Z7sXDP2JX8EoU5OVJ0BlR/cYQQ0QkEQMjIwyb/yF6jXlHVCt6VoC9oWvw+56DEnRGpBkYYoiIJNCkjQ28wkLQ2sFeVEu5G48tPgFIvnVHgs6INAdDDBFRHXMZMgAjFy+AcYMGotof+w9jz7IwFObnS9AZkWZhiCEiqiOGJsbw8P0YPUa4i2oFefnYuzwMf+w/LEFnRJqJIYaIqA40s2sDrzXL0LJje1Et6dYdRPgEIOVufN03RqTBGGKIiGpZV/fBeMffB8YNTEW133cfwN4Vn6DoWYEEnRFpNoYYIqJaYmRqinf8fdBt2GBRrSAvD7uWrMTFQz9K0BmRdmCIISKqBS06todXWAiat2srqiVev4ktPgFIu59Q940RaRGGGCIiNevxzlB4+HnD0MRYVPtl+x7sX/0pigv48hFRTTHEEBGpiXGDBhgZuAAugweIas+e5mJHUCguHTspQWdE2okhhohIDVp16givsBA0bWsrqiVcu44I7wA8eZgoQWdE2oshhoiohnqO9sCw+R/C0Fj88lH01h04uOZzlBQVSdAZkXZjiCEiqiYTMzlGBfmhy8B+olp+dg62L16GKyfPSNAZkW5giCEiqgZrRwdMDFuKJjbWotr9y1cROX8R0hOTJOiMSHcwxBARqai35ygM9ZkNA0NDUe2n8CgcXrcBJcXFEnRGpFsYYoiIlGRqYY4xS/zxUr8+olpeVja2+S/FtTNnJeiMSDcxxBARKcH2JUdMXB0Cq9YtRbV7MZcROX8xMpNTJOiMSHcxxBARVUFPTw+vTxyLIXNnQt9Q/FfmqW+34Mjn/4WiuESC7oh0G0MMEVElGjS0wLhli+HY5zVR7Wl6Brb5L8H1s79J0BkRAQwxREQVatvlZUxcvQSNWjQX1e78GYPI+YHITn0sQWdEVIohhojoH/T09PDGlAkY9MF70Dco/1ekQqHAya/D8eOGb6Eo4ctHRFJjiCEi+n9mVpYYt2wxHHq/KqrlPEnHVt8g3PrtDwk6I6KKMMQQEQFo19UZE1YGo2GzpqLard8uYKtfEHLSnkjQGRFVhiGGiHSankyGfv95FwNnTIVMX79cTVFSgh+/+g4n/rsZgkIhUYdEVBmGGCLSWeaNreC5Igj2r3YT1bJSH2PrgkDcuRAjQWdEpAyGGCLSSR17dIXniiBYNGksqt049xuiFi7B0/QMCTojImUxxBCRTpHp68Nt+hT0f28SZDJZuVpJcTGOfv41Tn8XAUEQJOqQiJTFEENEOsOiaRNMWLUE7bs6i2qZKamInLcI92IuS9AZEVUHQwwR6YROr70Kz+WLYWZlKapd+/kcvvdfitzMLAk6I6LqYoghIq0m09fHoA/eQ79pXqJaSVExDq/fgDNbtvHlIyINxBBDRFqrUfNmmLBqCexcnES19EdJiJy/GPcv/SVBZ0SkDgwxRKSVOr/+GsYtWwR5o4ai2l+nzuD7RcuRn50tQWdEpC4MMUSkVfQNDDD4wxnoO8lTVCsuKsIPaz5H9NYdEnRGROome/4hYp6enggPD0dsbCxSUlJQWFiIzMxM/P777/D19YVcLldpvcDAQAiCUOWlU6dO1WmViHSIZasWmLV5Q4UB5snDRHw+8X0GGCItUq1nYmbMmIFevXohLi4OFy9eRHp6Opo3b46ePXuie/fumDJlCvr06YOkpCSV1o2NjUVsbGyFtawsvmuAiCr34puvY8xSfzSwsBDVLv14CjuCQvEs56kEnRFRbalWiPH29satW7eQkVH+0yytrKywb98+uLq6Ys2aNfD0FP/fUFX27duH4ODg6rRERDpK39AQb388C69PGCOqFRcWYv+q9fhl+x4JOiOi2latEHP+/PkKr09PT8fChQsRHR2NAQMG1KgxIqLnsWzdElODfGHzQmdR7fH9BET4BCDx+k0JOiOiuqD2E3uLi4sBAAUFBepemoiozM2sJ3h/05cwMROfgxdz+EfsXLISBbl5EnRGRHVFrSHGzMwMQUFBAIADBw6ofHsXFxeEhobCysoKWVlZiImJwcGDB/H0KV/HJqK/GRgZYYjPbPyQcEsUYIqeFWDvik/w+27V//4hIs1ToxDj5uYGT09PyGSyshN7LSwscOTIESxYsEDl9dzd3eHu7l7uuszMTMyZMwcRERFV3tbIyAjGxsZlP5e+Q0oul8Pc3FzlXqpSup6619VGnJXyOKvna2zTGqOWBqCFfXtRLe1+AnYGhCDlzj3O8B+4r1TDeSmvtmalyjuc9QBU+7O2P/zwQ6xbt67cdVu3bsXHH3+M1NRUpdeZMGECrK2tceTIEdy/fx8A4OjoCF9fXwwdOhQAMH78eERFRVW6RmBgYNmzQESkfeIy03Di0V0UKRSiWudGTdCvpR2M9PUl6IyIaoOLiwtiYmKqPKZGIaaUgYEBbG1tMWzYMAQEBEAQBHh4eCA6OrqmS2P9+vWYM2cOUlNTYW1tjaKiogqP+/czMU5OToiOjoarqysuXbpU4z7+ydzcHImJiWjdujVycnLUura24ayUx1lVzNDYGIM+moFX3AeLakXPCnBozWeIPfSjBJ1pBu4r1XBeyqutWZU+fisTYoC/Q4zaLt27dxdKSkqE+/fvCyYmJjVez9LSUigqKhIEQRB69+6t9O2cnZ0FQRAEZ2dntd4/AIK5ubkgCIJgbm6u9rW17cJZcVY1uTSzayP47IkU1lz5VXTZfDNWaPfSC5L3WN8v3Fecl6bNSpXH72p9Ym9Vzp8/j2vXrsHW1hZdu3at8XoZGRllL01ZW1vXeD0i0gxd3Qdj7veb0LKj+PyXiwePwrP9i3gc/0CCzoiovqiV707Kzc0FADRr1qzGa8lkMjRs2BAA+NQekQ4wMjXBO/4+6DZsiKhWkJeHXUtX4daZX2DoF1T3zRFRvaL2ENO4cWM4OTkBAG7erPmHTLm7u0Mul0OhUODChQs1Xo+I6q8WHdrBa80yNG/XVlR7dOMWtvgE4HH8A75zhIgAVOMLIDt37gxPT89yJ9GW6tixI3bu3AkTExP8+uuv+Ouvv8pqs2bNQlxcHMLDw8vdxsbGBuPHj69wvWHDhuGbb74B8Pe7nlJSUlRtl4g0RI93hmLutu8qDDC/7NiL9eP/w5ePiKgclZ+JadasGbZu3YqNGzciJiYGDx8+hJGREWxtbeHi4gJ9fX1cu3YNY8aU/x6TJk2awMHBAcnJyeWut7KyQmRkJDZs2ICYmBgkJibC1NQUjo6OsLe3BwCcOnUKM2bMqMHdJKL6yrhBA4xcPB8uQwaKas+e5mJnUChij52UoDMiqu9UDjFXr17FwoUL4erqCgcHBzg7O8PQ0BDp6ek4efIk9uzZg02bNqGwsFCp9RISErBixQp069YNHTp0gIuLC4yMjJCWloaDBw8iKioK27dvhyAIKt85IqrfWnXqiImrl6KZXRtRLeHadUT4LMKThIcSdEZEmkDlEJOWlobQ0FCEhoaqdLvg4OAKv6E6PT0dfn5+qrZBRBqu52gPDJv/IQwreCn5bNROHAj7DCWVfC4UERFQS+9OIiKqjImZHKMCfdFlUH9RLT87B9sDl+PKiZ/qvjEi0jgMMURUZ6wdO2FiWAia2Ig/8+nBlWuImBeA9MQkCTojIk3EEENEdaK350gM9Z4NAyMjUe3Mlm04tPZLlBQXS9AZEWkqhhgiqlWmFuYYHbwQL/fvK6rlZWXj+4CluPrT2bpvjIg0HkMMEdUa25ccMXF1CKxatxTV4mOvIGLeImQm8/OfiKh6GGKIqFb08RqHIXNnQt9Q/NfMqe8icOSzjVAUl0jQGRFpC4YYIlKrBg0tMDZkEV7o21tUy83IRJT/ElyP/lWCzohI2zDEEJHatO3yMiasCoZlyxai2p0/Y7B1QSCyUh5L0BkRaSOGGCKqMT09PbwxZQIGffAe9A3K/7WiUChw8ptw/Pjlt1CU8OUjIlIfhhgiqhG5ZSOMW74YnXv3FNVynqQjyi8IN3/9Q4LOiEjbMcQQUbW1e6ULJqxcgobNm4pqt36/gK2+QchJeyJBZ0SkCxhiiEhlejIZ+k3zwsCZ0yDT1y9XUygUOL7hWxz/72YICoVEHRKRLmCIISKVmDe2gueKINi/2k1Uy36chsgFgbjzx0UJOiMiXcMQQ0RK69ijKzxXBMGiSWNR7cYvvyNqYTCePsmQoDMi0kUMMUT0XHoyGQZMn4L+70+GTCYrV1OUlODo51/j1LdbIAiCRB0SkS5iiCGiKlk0bYLxK4PRoZuLqJaZkorI+Ytx7+IlCTojIl3HEENElerUqwfGLV8M88ZWolpc9C/YtnAJcjOzJOiMiIghhogqINPXx6AP3kO/aV6iWklxMQ6v/wpnwqP48hERSYohhojKadS8GSasWgI7FydRLf1REiLnL8b9S39J0BkRUXkMMURUprNrL4xbvhjyRg1Ftb9O/4zvA5YhPztbgs6IiMQYYogIMgN9DJ4zA29MHi+qFRcV4YdPvkB05HYJOiMiqhxDDJGOs2zVAhNXLUUbpxdFtScPHyHCJwAJV+Mk6IyIqGoMMUQ67MU3X8eYpf5oYGEhql0+fhrbA5fjWc5TCTojIno+hhgiHaRvaIi3P5qF1yeOEdWKCwtxYPWnOPf9bgk6IyJSHkMMkY6xsm4Fr7AQ2LzQWVRLe/AQW3z8kRh3U4LOiIhUwxBDpENednsDo4MXwtTcTFSLOXIcO4NXoCA3T4LOiIhUxxBDpAMMjIzgPm8OXhs7QlQrKijAvhVr8duu/RJ0RkRUfQwxRFquia01vMKWoXVne1Et9d59bPHxR9LNOxJ0RkRUMwwxRFrM+S03jAxcABO5XFS7cPAIdi9djcL8fAk6IyKqOYYYIi1kYGyM4b5z0XPkcFGtMP8Z9iwPwx/7DtV9Y0REasQQQ6Rlmtm1gdeaZWjZsb2olnz7Lrb4BCDlzj0JOiMiUi+GGCIt8srQtzAiYB6MG5iKauf3/oC9oWtQmP9Mgs6IiNSPIYZICxiZmsBjoTe6D39bVCvIy8Pupavx5w9HJeiMiKj2MMQQabgWHdphYlgIWrS3E9Ue3byNCJ8ApN67L0FnRES1iyGGSIN19xgKD7+PYWRqIqr9unMf9q1ch+KCAgk6IyKqfQwxRBrIuEEDjFg0D6+8PUhUe5abi51BKxB79IQEnRER1R2GGCIN09K+A7zCQtDMro2o9vDaDUTMC0Dag4cSdEZEVLcYYog0SM9RHhi24EMYGhuLame37cLBsM9QXFgoQWdERHWPIYZIAxjLG2B0kB+6DOovquVn52B74HJcOfFT3TdGRCQhWXVu5OnpifDwcMTGxiIlJQWFhYXIzMzE77//Dl9fX8gr+IhzZfTr1w+HDh3C48ePkZeXh7i4OISEhFR7PSJtYO3YCR/vCK8wwDy4cg2fjJnEAENEOqlaz8TMmDEDvXr1QlxcHC5evIj09HQ0b94cPXv2RPfu3TFlyhT06dMHSUlJSq85d+5crF27FgqFAtHR0UhJSYGrqyv8/f0xYsQI9O7dG0+ePKlOu0Qaq7fnSAz1ng0DIyNR7UzE9zj0yRcoKS6WoDMiIulVK8R4e3vj1q1byMjIKHe9lZUV9u3bB1dXV6xZswaenp5KrdelSxesWbMGxcXFGDp0KI4e/ftDuUxNTXHgwAH0798fX331FUaNGlWddok0jqmFOUYHL8TL/fuKannZ2fg+IARXT0fXfWNERPVItV5OOn/+vCjAAEB6ejoWLlwIABgwYIDS6/n5+UEmk2HTpk1lAQYA8vPzMXXqVJSUlGDkyJHo1KlTddol0iitO3fCR9s3Vxhg4i9dwScj32WAISJCNUNMVYr//6ntAiU/YMvQ0BBDhgwBAERFRYnqDx48wLlz5wAAHh4eauqSqH76My0JUzauRWPrVqLa6e8i8cWkGchISpagMyKi+ketIcbMzAxBQUEAgAMHDih1G3t7+7ITdy9cuFDhMaXXOzs717xJonrI1MIC41YG40zyfegblH+VNzcjE9/M9MYPa7+AorhEog6JiOqfGr3F2s3NDZ6enpDJZGUn9lpYWODIkSNYsGCBUmvY2f39fS8ZGRl4+vRphcckJCSUO7YiRkZGMP7HZ2eUBiO5XA5zc3OlelFW6XrqXlcbcVbPZ/OiI0YuWYiGLZqJavdjr2B3YCiyH6dxhv/AfaU8zko1nJfyamtWqrwjuUYhxtHREZMmTSp33datW/Hxxx8jOztbqTVK73xubm6lx5SGGwsLi0qP8fPzK3sW6J+io2vv3IHExMRaW1vbcFZigiDgj7RHOJeSAKGCevemrTB3fA+sn/CfOu9NU3BfKY+zUg3npTwpZ1WjELN+/XqsX78eBgYGsLW1xbBhwxAQEIBBgwbBw8OjVgPEv4WGhuKTTz4p+9nJyQnR0dFwdXXFpUuX1Pq7zM3NkZiYiNatWyMnJ0eta2sbzqpiDRo1hEfAPHTs1V1Uy8vMwu6gFQg6/6cEnWkG7ivlcVaq4byUV1uzKn38VoZaPrG3uLgYd+/exdq1a3Hu3Dn8+uuviIyMRKdOnfDs2bMqb1t6x6t6+sjMzAwAqnx2p7CwEIX/+Lj10md2cnNza20j5uTkcJMribP6n3avdMGElUvQsHlTUc1aboGP3Mfi0b37EnSmebivlMdZqYbzUp66Z1XVKzP/pvZ3J50/fx7Xrl2Dra0tunbt+tzj4+PjAQCWlpZlYeXfbGxsyh1LpIn0ZDL0f28SZnz7uSjAKBQK/PRtBEa27YyctHSJOiQi0ixqDzHA/1JUs2biExX/7caNG2XHVxZ6Sq+/ePGimjokqltmjS3x3ldr8dbs9yHT1y9Xy36cho3/mYOfvo2ATE9Pog6JiDSP2kNM48aN4eTkBAC4efPmc48vKirCoUOHAKDCT/i1tbVFr169AAB79+5VY6dEdaND91fgvSsC9j3F57/c/PU81ozywm2e/0JEpDKVQ0znzp3h6elZ7u3MpTp27IidO3fCxMQEv/76K/7666+y2qxZsxAXF4fw8HDR7VasWAGFQoHJkydj4MCBZdebmpri22+/hYGBAXbt2oUbN26o2i6RZPRkMgycOQ3vf/0pLJo0LldTlJTg8Kdf4b/vz8XTJ+JPvyYioudT+cTeZs2aYevWrdi4cSNiYmLw8OFDGBkZwdbWFi4uLtDX18e1a9cwZsyYcrdr0qQJHBwckJws/rTRmJgYeHt7Y+3atTh8+DDOnDmD1NRUuLq6olWrVrh+/TqmT59e/XtJVMcsmjbB+BVB6ND9FVEtK+UxIhcsxt0/Y+u+MSIiLaJyiLl69SoWLlwIV1dXODg4wNnZGYaGhkhPT8fJkyexZ88ebNq0qdw7hZSxbt06XLlyBd7e3ujevTvkcjkePHiA5cuXIzQ0tNIPwiOqb+x7dodnaCDMG1uJanFnf8W2hUuQm5FZ940REWkZlUNMWloaQkNDERoaqtLtgoODERwcXOUxJ0+exMmTJ1VtiahekOnrY+Cs/6D/f94V1UqKi3Hk06/w0+YoCEJFH21HRESqUsvnxBDpuobNm2LCyiVo90oXUS0jKRmR8xYj/tKVum+MiEiLMcQQ1ZCDa094LlsMuWUjUe3q6Wh8vygEeVnKfQ0HEREpjyGGqJpkBvoYPHs63pgyQVQrKSrGD2u/wM8R30vQGRGRbmCIIaoGy5YtMGH1ErR1eklUe/LwESLmLULCX9ck6IyISHcwxBCp6IU3XDE2JAANKvhW9cvHT2N74HI8y+G76YiIahtDDJGS9A0M8PbHH+D1iWNEteLCQhwI+wzntu2SoDMiIt3EEEOkBCvrVpi4eilsX3QU1dIePETEvAA8vMZPlCYiqksMMUTP8bLbGxgdvBCm5uJvWY89egI7gkJRkJsnQWdERLqNIYaoEgZGRnCfNwevjR0hqhUVFGDfynX4bee+um+MiIgAMMQQVaiJrTUmrg6BtWMnUS313n1s8QlA0s3bEnRGRESlGGKI/qXLoP4YFeQLE7lcVPvzh6PYvXQ1CvL48hERkdQYYoj+n4GxMYYvmIueo4aLaoX5z7B3+Rqc3/dD3TdGREQVYoghAtDMrg0mhoWglX0HUS35zj1E+AQg+fZdCTojIqLKMMSQzntl6FsYETAPxg1MRbXz+37A3uVrUJj/TILOiIioKgwxpLOMTE3gsdAb3Ye/LaoV5OVjd8hq/HnwiASdERGRMhhiSCc1b28Hr7AQtOjQTlR7dPM2InwCkHrvvgSdERGRshhiSOd0H/42PBZ6w8jURFT7ddc+7FuxDsUFBRJ0RkREqmCIIZ1hZGqKkYvn45W3B4lqz3JzsSt4JWKOHJegMyIiqg6GGNIJLe07wCssBM3s2ohqiXE3scXHH2kPHkrQGRERVRdDDGm9V0cNx/AFc2FobCyqnft+Nw6s/hTFhYUSdEZERDXBEENay1jeAKMCfeH8lpuolp/zFDsCl+Py8dMSdEZEROrAEENaqXVne3iFLUMTW2tR7cFf1xAxbxHSHz6SoDMiIlIXhhjSOq+NGwl3n9kwMDIS1X6O2I4f1n6BkqIiCTojIiJ1YoghrWFiboYxwQvxstsbolpedja2L1qGv079LEFnRERUGxhiSCvYvOiIiauXorF1K1Ht/qW/EDFvETKSkiXojIiIagtDDGm81yeOxZCPZsLA0FBUO71pKw5/ugGK4hIJOiMiotrEEEMay9TCAuNCAvDCG66iWm5GJrb5L0Vc9C8SdEZERHWBIYY0UlunlzBh9RJYtmwhqt27eAkR8xchK+WxBJ0REVFdYYghjaKnp4e+kzzx1pzp0DcQb98TX4fj2BdfQ1HCl4+IiLQdQwxpDLllI4xbtgidXXuJajlP0rFt4RLc+OV3CTojIiIpMMSQRmj3ShdMWLkEDZs3FdVun/8TW32DkP04TYLOiIhIKgwxVK/p6enhzWleGDTrP5Dp65erKRQKnNi4CT9+9R0EhUKiDomISCoMMVRvmTW2hOfyQHTq1UNUy057gijfINz6/YIEnRERUX3AEEP1Uofur2D8iiBYNG0iqt387Q9E+QYh50m6BJ0REVF9wRBD9YqeTAa39yfDbfoUyGSycjVFSQmOffkNTn6zhS8fERERQwzVH+ZNGmPCymB06P6KqJaV8hiRvoG4eyFGgs6IiKg+YoihesG+Z3d4hgbCvLGVqBZ39ldsW7gEuRmZdd8YERHVWwwxJCmZvj4GzpyGN6d5iV4+KikuxpHPNuKnTVshCIJEHRIRUX3FEEOSadi8KcavDEb7V5xFtczkFETMW4z42MsSdEZERJpA9vxDyjMwMMCbb76JVatW4fz588jIyEBhYSGSkpKwf/9+DB48WOUmAgMDIQhClZdOnTqpvC7VXw6uPeG9c0uFAebqT2exZqQXAwwREVVJ5Wdi+vTpgxMnTgAAkpKScPbsWeTm5sLR0RHu7u5wd3fHxo0bMX36dJWbiY2NRWxsbIW1rKwsldej+kdmoI/Bs6fjjSkTRLWSomL8sO4L/Lzlewk6IyIiTaNyiFEoFNi1axfWr1+Ps2fPlquNHj0aW7duxfvvv49z584hIiJCpbX37duH4OBgVVsiDWHZsgUmrF6Ctk4viWrpiUmImBeAB1euSdAZERFpIpVfTjp9+jRGjRolCjAAsGPHDmzevBkA4OXlVePmSHt0cu2Jj3eGVxhgrpw8g09Gv8sAQ0REKlH7ib0xMX9/joeNjY26lyYNpG9ggJ+S4jFupfgZtuLCQhxc8xnORu2SoDMiItJ0ag8xHTt2BPD3+TKqcnFxQWhoKKysrJCVlYWYmBgcPHgQT58+VXebVAesWrfEpE+W4+KTZFEtLeEhInwC8PDaDQk6IyIibaDWENO8eXNMmjQJALB7926Vb196YvA/ZWZmYs6cOc89v8bIyAjGxsZlP8vl8rJ/mpubq9xLVUrXU/e62qRz394Y5vcxTMzNRLWrJ8/gwIq1KMjN4wz/gftKeZyV8jgr1XBeyqutWZU+fitDD4BaPkVMX18fR48eRf/+/XH58mV07doVRUVFSt12woQJsLa2xpEjR3D//n0AgKOjI3x9fTF06FAAwPjx4xEVFVXpGoGBgQgKCqrx/aCaKVYocCb5Pi6lp4hq+np66NuyLV62bAY9PT0JuiMiIk3h4uJSdopKZdQWYr7++mtMmzYNaWlp6NWrF27duqWOZbF+/XrMmTMHqampsLa2rjQY/fuZGCcnJ0RHR8PV1RWXLl1SSy+lzM3NkZiYiNatWyMnJ0eta2syq9atMCrEHy07dRTV0h8+wg7/JUi+dVeCzjQD95XyOCvlcVaq4byUV1uzKn38VibEqOXlpHXr1mHatGlIT0+Hm5ub2gIMAAQFBWHmzJlo1qwZevToUeG7ogCgsLAQhYWFZT/n5uaW/bO2NmJOTg43+f/rMqg/RgX6wsRM/DSgQ8PG8Oo/DE9SUiXoTPNwXymPs1IeZ6Uazkt56p5V6eO3MlR+i/W/hYWF4cMPP0RGRgYGDBhQ6YfVVVdGRgZSU/9+8LO2tlbr2lRzBsbGGLl4ASauXioKMEXPCrB/+Sd4y7oDCvPyJeqQiIi0VY2eiVm5ciW8vb2RmZmJAQMG4M8//1RXX2VkMhkaNmwIAEzF9UwzuzaYGBaCVvYdRLXkO/cQ4ROA3JTHPP+FiIhqRbVDTGhoKObPn4/MzEy4ubnhwoUL6uyrjLu7O+RyORQKRa39DlLdK28PwohF82DcoIGo9sf+Q9izLAyF+c94hj8REdWaar2ctHTpUvj6+iIjI0PpADNr1izExcUhPDy83PU2NjYYP358uZNySw0bNgzffPMNAGDr1q1ISRG/44XqlpGpCcYs8YdnaKAowBTk5WOb/1J8HxCCwvxnEnVIRES6QuVnYoYOHYqAgAAAwO3btzFr1qwKj0tLS8O8efPKfm7SpAkcHByQnFz+g8+srKwQGRmJDRs2ICYmBomJiTA1NYWjoyPs7e0BAKdOncKMGTNUbZXUrHl7O3iFhaBFh3aiWtKtO9ji7Y/Ue/cl6IyIiHSRyiHGysqq7M/dunVDt27dKjwuPj6+XIipTEJCAlasWIFu3bqhQ4cOcHFxgZGREdLS0nDw4EFERUVh+/btEAS1vBOcqqnb8CF4Z6EPjExNRLXfdu3HvpVrUfSsQILOiIhIV6kcYsLDw0UvCSkjODi4wm+oTk9Ph5+fn8rrUd0wMjXFiEXz0HXoW6Las9xc7FqyCjGHf5SgMyIi0nVq/+4k0h4t7dvDK2wZmtm1EdUSr9/EFp8ApN1PkKAzIiIihhiqxKujhmP4grkwrOCE63Pf78aB1Z+i+B8fLkhERFTXGGKoHGN5A4wK9IXzW26iWn7OU+wMXoFLx05K0BkREVF5DDFUpnVne0xcHYKmbWxEtYSrcYjwWYQnDxMl6IyIiEiMIYYAAK+NGwl3n9kwMDIS1X6O3I4fPvkCJUp+KzkREVFdYIjRcSbmZhgd5AenAW+KannZ2di+aBn+OvWzBJ0RERFVjSFGh9m80BkTw5aisXVrUe3+pb8QMX8RMh4lV3BLIiIi6THE6CjXCWPw9sezYGBoKKr9tDkKh9dvQElxsQSdERERKYchRseYWlhgbIg/XnzjdVEtNzML2/yXIu7ncxJ0RkREpBqGGB3SxulFTFi1BFatWopq9y5eQuT8xchMSZWgMyIiItUxxOgAPT099J3kibfmTIe+gfhf+clvtuDoF/+ForhEgu6IiIiqhyFGy8kbNcS45YvR2bWXqPY0PQNRC5fgxrnfJOiMiIioZhhitJidixMmrFqCRs2biWp3LsQgckEgslMfS9AZERFRzTHEaCE9PT28Oc0Lg2b9BzJ9/XI1hUKBE//djONffQdFCV8+IiIizcUQo2XMGlvCc3kgOvXqIaplpz1BlF8wbv32hwSdERERqRdDjBZp380FE1YGw6JpE1Ht1m8XsNU3EDlP0iXojIiISP0YYrSAnkwGt/cmwW36FPHLRyUlOLbhW5z8OhyCQiFRh0REROrHEKPhzJs0xvgVQejYo6uolpX6GJELAnH3QowEnREREdUuhhgNZt+zGzxDg2De2EpUu372N2zzX4Kn6RkSdEZERFT7GGI0kExfHwNmTkW/ae9CJpOVq5UUF+Po5//F6e8iIQiCRB0SERHVPoYYDdOweVOMXxmM9q84i2qZySmInL8Y92IuS9AZERFR3WKI0SAOrj3huWwx5JaNRLVrZ85hm/8S5GVl131jREREEmCI0QAyA30Mnj0db0yZIKqVFBXj0Lov8XPE93z5iIiIdApDTD3XqEVzTFy9FG27vCSqpScmIWL+Ijy4fFWCzoiIiKTFEFOPvdC3N8aGLEKDhhai2pWTZ7B98TLkZ+dI0BkREZH0GGLqIX0DAwz5aCb6eI0T1YqLinAw7DOcjdopQWdERET1B0NMPWPVuiUmrg6B7UuOolpawkNE+CzCw2vXJeiMiIiofmGIqUde6tcHY5b4w9TCXFS79OMp7AhcjmdPcyXojIiIqP5hiKkHDIyMMNT7A/T2HCWqFRUUYP+q9fh1x14JOiMiIqq/GGIk1tjGGl5hIbB27CSqPY5/gC0+AXh045YEnREREdVvDDES6jKwH0YF+cHETC6qXTz8I3YFr0RBXp4EnREREdV/DDESMDA2xrD5H6LXaA9RrehZAfaGrsHvew5K0BkREZHmYIipY03b2sIrLAStOnUU1VLuxmOLTwCSb92RoDMiIiLNwhBTh1zeHoiRi+bDuEEDUe2P/YexZ1kYCvPzJeiMiIhI8zDE1AFDE2N4+HmjxztDRbWCvHzsXR6GP/YflqAzIiIizcUQU8uat2sLrzXL0KJDO1Et6dYdRPgEIOVufN03RkREpOEYYmpRt+FD8M5CHxiZmohqv+8+gL0rPkHRswIJOiMiItJ8DDG1wMjUFCMC5qGr+1uiWkFeHnYtWYmLh36UoDMiIiLtwRCjZi3t28MrbBma2bUR1RKv38QWnwCk3U+QoDMiIiLtIlP1BgYGBnjzzTexatUqnD9/HhkZGSgsLERSUhL279+PwYMHV7uZfv364dChQ3j8+DHy8vIQFxeHkJAQyOXiD4Orj14dOQwfbv22wgDzy/Y9+HT8fxhgiIiI1ETlZ2L69OmDEydOAACSkpJw9uxZ5ObmwtHREe7u7nB3d8fGjRsxffp0ldadO3cu1q5dC4VCgejoaKSkpMDV1RX+/v4YMWIEevfujSdPnqjabp0wljfAqMUL4Dx4gKj27GkudgSF4tKxkxJ0RkREpL1UDjEKhQK7du3C+vXrcfbs2XK10aNHY+vWrXj//fdx7tw5REREKLVmly5dsGbNGhQXF2Po0KE4evQoAMDU1BQHDhxA//798dVXX2HUKPEXJEqttYM9JoaFoGkbG1Et4dp1RHgH4MnDRAk6IyIi0m4qv5x0+vRpjBo1ShRgAGDHjh3YvHkzAMDLy0vpNf38/CCTybBp06ayAAMA+fn5mDp1KkpKSjBy5Eh06iT+kkSpCIKAbu8MxZytX1cYYKK37sBnE95jgCEiIqolKoeY54mJiQEA2NiIH9grYmhoiCFDhgAAoqKiRPUHDx7g3LlzAAAPD/F3DUnBxEyOHxJuYYjPbBgYGZWr5WfnYPNcX+xbsRYlRUUSdUhERKT91B5iOnb8+zuBkpKSlDre3t6+7MTdCxcuVHhM6fXOzs5q6LBmbF7ojPc3fYlb2emi2v3LV/HJ6Hdx5eQZCTojIiLSLWp9i3Xz5s0xadIkAMDu3buVuo2dnR0AICMjA0+fPq3wmISEhHLHVsTIyAjGxsZlP5cGI7lcDnNzc6V6eZ5XR3vAbdY06Bsaimq/bNuFkxu+Q0lxsdp+nzYonQVn8nyclfI4K+VxVqrhvJRXW7NS5R3Jagsx+vr6iIyMRKNGjXD58mVs3LhRqduV3vnc3NxKjykNNxYWFpUe4+fnh6CgINH10dHRSvXxPCUKBb6/dxUp+eX7NNbXx6DWHfDxsjBgWZhafpc2SkzkuUHK4qyUx1kpj7NSDeelPClnpbYQ89VXX6F///5IS0vDyJEjUVTH54OEhobik08+KfvZyckJ0dHRcHV1xaVLl9TyOyxbtcD7mzfAxOzvlJh49Tp2BCyFX8pjtayvjczNzZGYmIjWrVsjJydH6nbqNc5KeZyV8jgr1XBeyqutWZU+fitDLSFm3bp1mDZtGtLT0+Hm5oZbt24pfdvSO17V00dmZmYAgOzs7EqPKSwsRGFhYdnPpc/s5Obmqm24OTdysH3xMniFhaB7M2ssmf4WsjIz1bK2tsvJyeFfCErirJTHWSmPs1IN56U8dc+qqldm/q3GJ/aGhYXhww8/REZGBgYMGIDY2FiVbh8fHw8AsLS0LAsr/1b6TqfSY6V0+fhpfDnhPbi2sIWipETqdoiIiHRWjULMypUr4e3tjczMTAwYMAB//vmnymvcuHGjLHV17dq1wmNKr7948WL1m1Wjx/EPpG6BiIhI51U7xISGhmL+/PnIzMyEm5tbpW+Pfp6ioiIcOnQIAODp6Smq29raolevXgCAvXv3VrddIiIi0jLVCjFLly6Fr68vMjIylA4ws2bNQlxcHMLDw0W1FStWQKFQYPLkyRg4cGDZ9aampvj2229hYGCAXbt24caNG9Vpl4iIiLSQyif2Dh06FAEBAQCA27dvY9asWRUel5aWhnnz5pX93KRJEzg4OCA5OVl0bExMDLy9vbF27VocPnwYZ86cQWpqKlxdXdGqVStcv35d5S+UJCIiIu2mcoixsrIq+3O3bt3QrVu3Co+Lj48vF2KeZ926dbhy5Qq8vb3RvXt3yOVyPHjwAMuXL0doaGilH4RHREREukvQxouzs7MgCILg7Oys9rXNzc0FQRAEc3Nzye9nfb9wVpwVZ8VZadKF85J+Vqo8fqv9u5OIiIiI6gJDDBEREWkkhhgiIiLSSAwxREREpJEYYoiIiEgjMcQQERGRRlLLt1jXRyYmJgAABwcHta9d+o3bTk5OKn3bpi7irJTHWSmPs1IeZ6Uazkt5tTWr0sft0sfxqujh7/daa51x48YhKipK6jaIiIioGjw9PbFt27Yqj9HaEGNlZYWBAwciPj4ez549U+vacrkc0dHRcHV1ZVJ/Ds5KeZyV8jgr5XFWquG8lFdbszIxMUHbtm1x7NgxpKenP/d4yT/1T9Mu/ERHzoqz4qw05cJZcV7aPCue2EtEREQaiSGGiIiINBJDTDUUFBQgKCgIBQUFUrdS73FWyuOslMdZKY+zUg3npbz6MCutPbGXiIiItBufiSEiIiKNxBBDREREGokhhoiIiDSSTocYe3t7fPDBB9i0aRMuX76MoqIiCIIAf3//Gq3br18/HDp0CI8fP0ZeXh7i4uIQEhJS9hHNmkjdswoMDIQgCFVeOnXqpOZ7UfsMDAzw5ptvYtWqVTh//jwyMjJQWFiIpKQk7N+/H4MHD6722tq2r2pjVtq6r4C/P700PDwcsbGxSElJQWFhITIzM/H777/D19e32vtA2/ZVKXXPS5v31r+tXLmy7D5V9+/4utpXWvvdScqYMWMG5s6dq9Y1586di7Vr10KhUCA6OhopKSlwdXWFv78/RowYgd69e+PJkydq/Z11oTZmBQCxsbGIjY2tsJaVlaX231fb+vTpgxMnTgAAkpKScPbsWeTm5sLR0RHu7u5wd3fHxo0bMX36dJXW1cZ9VVuzArRvXwF//zfYq1cvxMXF4eLFi0hPT0fz5s3Rs2dPdO/eHVOmTEGfPn2QlJSk9JrauK9K1ca8AO3cW//Us2dPeHt7Q6FQQCar3vMcdb2vJP/UP6kuU6dOFVatWiWMGzdO6NSpkxAeHi4IgiD4+/tXa70uXboIJSUlQlFRkTBo0KCy601NTYXjx48LgiAIO3fulPx+14dZBQYGCoIgCIGBgZLfN3Ve3njjDWHnzp1C7969RbXRo0cLRUVFgiAIwsSJE3V+X9XGrLR1XwEQunfvLlhaWoqut7KyEn7++WdBEAQhKipK5/dVbc1Lm/fWP//d37hxQ0hISBD27NlTrb/jJdhX0g+uvlw2bdpUowfm7du3C4IgCP/9739FNVtbW6G4uFgQBEHo1KmT5PdV6lnpwl8IFV2+/vprQRAE4fjx40rfRpf2VU1npav7qnfv3oIgCEJaWprSt9HVfVXdeenC3lq3bp0gCILw1ltvVfvv+LreVzp9Tow6GRoaYsiQIQBQ4bdnP3jwAOfOnQMAeHh41GlvVH/ExMQAAGxsbJQ6Xpf3laqz0mXFxcUAoPSHjunyvgJUn5cu6NOnD2bPno3w8HAcOXKkWmtIsa90+pwYdbK3ty87YenChQsVHnPhwgW8/vrrcHZ2rsvW6jUXFxeEhobCysoKWVlZiImJwcGDB/H06VOpW6sVHTt2BAClX4fX5X2l6qz+SZf2lZmZGYKCggAABw4cUOo2uryvqjOvf9LGvSWXy/Hdd98hJSWlRuc+SrGvGGLUxM7ODgCQkZFR6WZOSEgodyyh7ATOf8rMzMScOXMQEREhUVe1o3nz5pg0aRIAYPfu3UrdRlf3VXVm9U/avK/c3Nzg6ekJmUxWdqKqhYUFjhw5ggULFii1hi7tK3XM65+0cW+FhYWhXbt2GD58ODIzM6u9jhT7ii8nqYm5uTkAIDc3t9JjSv+lWlhY1ElP9dmdO3fg5+eHLl26wNLSEpaWlnjttddw8OBBNGrUCFu2bIGnp6fUbaqNvr4+IiMj0ahRI1y+fBkbN25U6na6uK+qOytAN/aVo6MjJk2aBC8vLwwcOBAWFhbYunUrJk2ahOzsbKXW0KV9pY55Adq7t9zc3DB9+nRs27YN+/fvr9FaUu0ryU8mqi+XmpysOm7cOEEQBCEhIaHSY6ZNmyYIgiBcv35d8vsq5ayed1m/fr0gCIKQkpIiGBoaSn5f1XEpPUn18ePHQseOHZW+na7tq5rM6nkXbdtXBgYGQrt27YSPPvpIePLkiZCWlia4uroqdVtd3Fc1mdfzLpq6tywsLIQHDx4IKSkpQuPGjcvVqvN3vBT7is/EqElOTg4AVPlBPmZmZgCgUvrXRUFBQSguLkazZs3Qo0cPqdupsXXr1mHatGlIT0+Hm5sbbt26pfRtdW1f1WRWz6Nt+6q4uBh3797F2rVr8dZbb8HS0hKRkZEwMTF57m11bV8BNZvX82jq3lq3bh1sbGzwwQcfqOVzW6TYVwwxahIfHw8AsLS0LPuX9G+l77IoPZYqlpGRgdTUVACAtbW1xN3UTFhYGD788ENkZGRgwIABlX5IVmV0aV/VdFbPo0376t/Onz+Pa9euwdbWFl27dn3u8bq0ryqi6ryeR1P3loeHB4qKijBz5kycPn263GXQoEEAgKlTp+L06dPYtm3bc9eTYl/xxF41uXHjBnJzcyGXy9G1a1f89NNPomNK/2O5ePFiHXenWWQyGRo2bAjgf8leE61cuRLe3t7IzMzEgAED8Oeff6q8hq7sK3XM6nm0ZV9VpvQ8hGbNmj33WF3ZV1VRZV7Po8l7y9DQEH379q20bmdnBzs7O6VCh1T7SvLX5erLpbY/7K70E0i14cOjavOcmOHDhwuCIAglJSVC8+bNJb+v1bmEhoYKgiAIGRkZQteuXWu0lrbvK3XOqqqLNuyryi6NGzcW8vPzBUEQhBdffFGp22j7vlL3vKq6aOPeqq0Pu6uFfSX9sOrLRZl/abNmzRLi4uKE8PBwUc3Z2bns45YHDhxYdr22fIy3umZlY2MjjB8/XjA2NhbdZtiwYUJaWpogCIKwZcsWye9ndS5Lly4VBEEQ0tPTlX5Q1tV9pc5ZafO+6ty5s+Dp6VnhfevYsaNw6tQpQRAE4ZdffuG+qoV5afPequxS1d/x9Wlf6fTLSc7Ozvjyyy/Lfm7fvj0A4P3338fbb79ddr2HhweSk5MBAE2aNIGDg0PZz/8UExMDb29vrF27FocPH8aZM2eQmpoKV1dXtGrVCtevX6/Wl9nVB+qclZWVFSIjI7FhwwbExMQgMTERpqamcHR0hL29PQDg1KlTmDFjRm3fLbUbOnQoAgICAAC3b9/GrFmzKjwuLS0N8+bNK/tZF/eVumelzfuqWbNm2Lp1KzZu3IiYmBg8fPgQRkZGsLW1hYuLC/T19XHt2jWMGTOm3O10cV8B6p+XNu+t6qhv+0ryxCfVpU+fPoIy2rRpU3ab0u/POH36dKXr9uvXTzh8+LCQlpYm5OfnCzdu3BCWLVsmmJmZSX6f68OsrKyshNDQUOHEiRNCfHy8kJOTIxQUFAiJiYnCgQMHhLFjxwp6enqS3+fqXN59912l5nTv3r1yt9PFfaXuWWnzvmrSpIng5+cnHD58WLh7966Qk5MjPHv2THj06JFw7Ngx4f333xeMjIxEt9PFfVUb89LmvVXZpapnYurTvtL7/z8QERERaRS+xZqIiIg0EkMMERERaSSGGCIiItJIDDFERESkkRhiiIiISCMxxBAREZFGYoghIiIijcQQQ0RERBqJIYaIiIg0EkMMERERaSSGGCIiItJIDDFERESkkRhiiIiISCP9H5EBrNNjkEaJAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.style.use(['dark_background', 'file/presentation.mplstyle'])\n",
    "plt.plot([1,2,3,4],[2,3,4,5])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 3.设置rcparams"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "我们还可以通过修改默认rc设置的方式改变样式，所有rc设置都保存在一个叫做 matplotlib.rcParams的变量中。  \n",
    "修改过后再绘图，可以看到绘图样式发生了变化。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x1ca5caf8448>]"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.style.use('default') # 恢复到默认样式\n",
    "plt.plot([1,2,3,4],[2,3,4,5])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x1ca5cb68288>]"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "mpl.rcParams['lines.linewidth'] = 2\n",
    "mpl.rcParams['lines.linestyle'] = '--'\n",
    "plt.plot([1,2,3,4],[2,3,4,5])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "另外matplotlib也还提供了了一种更便捷的修改样式方式，可以一次性修改多个样式。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x1ca5cbd1948>]"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "mpl.rc('lines', linewidth=4, linestyle='-.')\n",
    "plt.plot([1,2,3,4],[2,3,4,5])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 4.修改matplotlibrc文件"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "由于matplotlib是使用matplotlibrc文件来控制样式的，也就是上一节提到的rc setting，所以我们还可以通过修改matplotlibrc文件的方式改变样式。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 查找matplotlibrc文件的路径\n",
    "mpl.matplotlib_fname()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "找到路径后，就可以直接编辑样式文件了，打开后看到的文件格式大致是这样的，文件中列举了所有的样式参数，找到想要修改的参数，比如lines.linewidth: 8，并将前面的注释符号去掉，此时再绘图发现样式以及生效了。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![](https://img-blog.csdnimg.cn/20201124005855980.PNG)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 二、matplotlib的色彩设置（color）"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "在可视化中，如何选择合适的颜色和搭配组合也是需要仔细考虑的，色彩选择要能够反映出可视化图像的主旨。  \n",
    "从可视化编码的角度对颜色进行分析，可以将颜色分为`色相、亮度和饱和度`三个视觉通道。通常来说：  \n",
    "`色相`： 没有明显的顺序性、一般不用来表达数据量的高低，而是用来表达数据列的类别。  \n",
    "`明度和饱和度`： 在视觉上很容易区分出优先级的高低、被用作表达顺序或者表达数据量视觉通道。  \n",
    "具体关于色彩理论部分的知识，不属于本教程的重点，请参阅有关拓展材料学习。  \n",
    "[ECharts数据可视化实验室](https://vis.baidu.com/chartcolor/basis/)  \n",
    "[学会这6个可视化配色基本技巧，还原数据本身的意义](https://zhuanlan.zhihu.com/p/88892542)\n",
    "\n",
    "在matplotlib中，设置颜色有以下几种方式："
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 1.RGB或RGBA"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "plt.style.use('default')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x1ca5cc0f448>]"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 颜色用[0,1]之间的浮点数表示，四个分量按顺序分别为(red, green, blue, alpha)，其中alpha透明度可省略\n",
    "plt.plot([1,2,3],[4,5,6],color=(0.1, 0.2, 0.5))\n",
    "plt.plot([4,5,6],[1,2,3],color=(0.1, 0.2, 0.5, 0.5))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 2.HEX RGB 或 RGBA "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x1ca5cdf8708>]"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 用十六进制颜色码表示，同样最后两位表示透明度，可省略\n",
    "plt.plot([1,2,3],[4,5,6],color='#0f0f0f')\n",
    "plt.plot([4,5,6],[1,2,3],color='#0f0f0f80')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 3.灰度色阶"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x1ca5cd19b08>]"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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lqqurIZPJ8MQTT2DGjBmQyWRSRyMDsLAQEZFJEkLg1KlTyMrKgkajgaOjIxITEzFs2DCpo1E3sLAQEZHJUavV2LFjBwoLCwEAI0eORHx8PGxtbSVORt3FwkJERCalvLwcSqUS9+/fh5mZGSIiIhAaGsoloH6OhYWIiEyCEALHjx9HdnY2NBoNnJycoFAoMHToUKmjUQ9gYSEion6vubkZ27dvx8WLFwEAQUFBWLRoEWxsbCRORj2FhYWIiPq1W7duQalUoqamBmZmZpg3bx6mTZvGJSATw8JCRET9khACR48eRU5ODrRaLVxcXKBQKODl5SV1NOoFLCxERNTvNDU1IT09HVeuXAEAjBkzBrGxsbC2tpY4GfUWFhYiIupXbt68CaVSCZVKBXNzc0RFRWHq1KlcAjJxLCxERNQvCCFw5MgR5ObmQgiBQYMGISkpCR4eHlJHoz7AwkJEREavoaEB6enpKCoqAgCMGzcOCxcuhFwulzgZ9RUWFiIiMmo3btxASkoK6urqYGFhgfnz52PSpElcAhpgWFiIiMgoabVaHDp0CHl5eRBCYMiQIVAoFHB3d5c6GkmAhYWIiIxOfX090tLScO3aNQDAxIkTsWDBAlhZWUmcjKTCwkJEREalpKQEqampqK+vh6WlJRYsWIDg4GCpY5HEWFiIiMgoaLVaHDhwAAcPHgQAuLq6IikpCa6urhInI2PAwkJERJKrq6tDamoqrl+/DgCYNGkS5s+fD0tLS2mDkdFgYSEiIkkVFxcjNTUVjY2NsLS0xMKFCzFhwgSpY5GRYWEhIiJJaLVa7N+/H4cOHQIAuLu7IykpCYMHD5Y4GRkjFhYiIupzKpUKKSkpKC0tBQBMmTIF0dHRsLDgyxJ1zMyQwWvWrIFMJtO7BAUFdTp+y5Yt7cb/+ouphBB477334OnpCRsbG0RGRuLq1avdmw0RERm9q1ev4ssvv0RpaSmsrKygUCiwcOFClhV6IIN/O8aOHYucnJz/eYCH/II5Ojri8uXLuuu//mTCDRs24NNPP8XWrVvh5+eHd999F1FRUbhw4QK/dZOIyIRoNBrs27cPR44cAQB4enpCoVBg0KBBEiej/sDgwmJhYWHQF03JZLJOxwsh8Mknn+D3v/894uLiAADffvst3N3dkZ6ejiVLlhgaj4iIjFBNTQ1SUlJQVlYGAJg2bRrmzp3LoyrUZQYtCQE/H8rz8vKCv78/li1bplt/7Ex9fT18fX3h4+ODuLg4FBYW6m4rKSlBRUUFIiMjdducnJwQEhKC/Pz8Th9TrVZDpVLpXYiIyDhdunQJGzduRFlZGeRyOZ588knMnz+fZYUMYlBhCQkJwZYtW5CVlYUvvvgCJSUlmDVrFurq6jocHxgYiK+//hoZGRn47//+b2i1WoSFhekadkVFBQC0+14Id3d33W0dWbduHZycnHQXHx8fQ6ZBRER9QKPRICsrC99//z2am5vh7e2Nl156CaNHj5Y6GvVDMiGE6O6da2pq4Ovriz/96U9YsWLFQ8e3trZi9OjRWLp0KT744AMcOXIEM2bMQHl5OTw9PXXjnnzySchkMnz//fcdPo5arYZardZdV6lU8PHxQW1tLRwdHbs7HSIi6iH379+HUqlEeXk5AGD69OmIjIyEubm5xMnImKhUKjg5OXXp9fuRjsc5Oztj1KhRKCoq6tJ4S0tLTJo0STf+l3NbKisr9QpLZWXlA783Qi6XQy6Xdz84ERH1mgsXLmD79u1Qq9WwtrZGfHw8AgMDpY5F/ZzB57D8s/r6ehQXF+uVjQfRaDQ4d+6cbryfnx88PDyQm5urG6NSqXDs2DGEhoY+SjQiIupjbW1t2L17N5KTk6FWq+Hj44OXX36ZZYV6hEFHWN544w3ExsbC19cX5eXlWL16NczNzbF06VIAwPLly+Ht7Y1169YBAN5//31Mnz4dAQEBqKmpwR/+8AfcuHEDL7zwAoCf30G0cuVKfPjhhxg5cqTubc1eXl6Ij4/v2ZkSEVGvqa6uhlKp1J1/OGPGDMyZM4dLQNRjDCosZWVlWLp0Kaqrq+Hq6oqZM2fi6NGjum/SLC0thZnZ/xy0uX//Pn7729+ioqICLi4umDJlCo4cOYIxY8boxqxatQoNDQ148cUXUVNTg5kzZyIrK4ufwUJE1E+cP38eO3bsQEtLC2xtbbF48WIEBARIHYtMzCOddGssDDlph4iIekZrayuysrJw+vRpAICvry8SEhL4d5i6rM9OuiUiooHp7t27SE5ORlVVFQBg1qxZmD17tt5RdqKexMJCREQG+emnn7Br1y60trbCzs4OCQkJ8Pf3lzoWmTgWFiIi6pKWlhZkZmaioKAAwM/v9Fy8eDEcHBykDUYDAgsLERE9VFVVFZRKJe7cuQOZTIbw8HDMmjWLS0DUZ1hYiIioU0IIFBQUYPfu3Whra4O9vT0SExMxfPhwqaPRAMPCQkREHWppacGuXbtw9uxZAMCIESOwePFi2NnZSZyMBiIWFiIiaqeyshLJycmorq6GTCbDnDlzMHPmTMhkMqmj0QDFwkJERDpCCJw6dQpZWVnQaDRwcHCAQqHAsGHDpI5GAxwLCxERAQDUajV27NiBwsJCAMDIkSMRHx8PW1tbiZMRsbAQERGA27dvQ6lU4t69ezAzM0NERARCQ0O5BERGg4WFiGgAE0LgxIkT2Lt3LzQaDZycnKBQKDB06FCpoxHpYWEhIhqgmpubsX37dly8eBEAEBgYiLi4ONjY2EicjKg9FhYiogHo1q1bUCqVqKmpgZmZGebOnYuQkBAuAZHRYmEhIhpAhBA4evQocnJyoNVq4ezsDIVCAW9vb6mjET0QCwsR0QDR1NSEjIwMXL58GQAwevRoLFq0CNbW1hInI3o4FhYiogHg5s2bUCqVUKlUMDc3R1RUFKZOncolIOo3WFiIiEyYEAJHjhxBbm4uhBAYNGgQFAoFPD09pY5GZBAWFiIiE9XY2Ii0tDQUFRUBAMaNG4eFCxdCLpdLnIzIcCwsREQm6MaNG0hJSUFdXR0sLCwQHR2NyZMncwmI+i0WFiIiEyKEwI8//oi8vDwIITB48GAkJSXB3d1d6mhEj4SFhYjIRNTX1yMtLQ3Xrl0DAEyYMAExMTGwsrKSOBnRo2NhISIyASUlJUhNTUV9fT0sLCwQExOD4OBgqWMR9RgWFiKifkyr1eLgwYM4cOAAAMDV1RVJSUlwdXWVOBlRz2JhISLqp+rq6pCamorr168DAIKDg7FgwQJYWlpKG4yoF7CwEBH1Q8XFxUhLS0NDQwMsLS2xcOFCTJgwQepYRL2GhYWIqB/RarXIy8vDjz/+CABwd3eHQqHAkCFDJE5G1LtYWIiI+gmVSoWUlBSUlpYCAKZMmYKoqCguAdGAwMJCRNQPXL16FWlpaWhqaoKVlRViY2Mxbtw4qWMR9RkWFiIiI6bRaLBv3z4cOXIEAODp6QmFQoFBgwZJnIyob7GwEBEZqdraWiiVSpSVlQEApk2bhrlz58LCgn+6aeDhbz0RkRG6fPky0tPT0dzcDLlcjri4OIwePVrqWESSMTNk8Jo1ayCTyfQuQUFBnY7ftGkTZs2aBRcXF7i4uCAyMhLHjx/XG/Pcc8+1e8zo6OjuzYaIqJ/TaDTIysrCtm3b0NzcDC8vL7z00kssKzTgGXyEZezYscjJyfmfB3jAocm8vDwsXboUYWFhsLa2xkcffYR58+ahsLAQ3t7eunHR0dH45ptvdNf51edENBDdv38fSqUS5eXlAIDp06cjMjIS5ubmEicjkp7BhcXCwgIeHh5dGvu3v/1N7/pf//pXpKSkIDc3F8uXL9dtl8vlXX5MIiJTdPHiRWRkZECtVsPa2hrx8fEIDAyUOhaR0TBoSQj4+a11Xl5e8Pf3x7Jly3SfB9AVjY2NaG1tbXd2e15eHtzc3BAYGIhXXnkF1dXVD3wctVoNlUqldyEi6o/a2tqwe/du/PDDD1Cr1Rg6dChefvlllhWiX5EJIURXB2dmZqK+vh6BgYG4ffs21q5di1u3buH8+fNwcHB46P3/9//+39izZw8KCwthbW0NANi2bRtsbW3h5+eH4uJivPPOO7C3t0d+fn6nh0HXrFmDtWvXttteW1sLR0fHrk6HiEhS9+7dQ3JyMioqKgAAYWFheOKJJ7gERAOGSqWCk5NTl16/DSosv1ZTUwNfX1/86U9/wooVKx44dv369diwYQPy8vIe+H0X165dw4gRI5CTk4OIiIgOx6jVaqjVat11lUoFHx8fFhYi6jfOnz+PHTt2oKWlBba2toiPj8fIkSOljkXUpwwpLI/0tmZnZ2eMGjUKRUVFDxz38ccfY/369cjJyXnol3P5+/tjyJAhKCoq6rSwyOVynphLRP1Sa2sr9uzZg1OnTgEAhg0bhsTERP5ji+ghHqmw1NfXo7i4GM8880ynYzZs2IB///d/x549ezB16tSHPmZZWRmqq6vh6en5KNGIiIzO3bt3oVQqUVlZCQCYNWsWZs+eDTMzg08nJBpwDCosb7zxBmJjY+Hr64vy8nKsXr0a5ubmWLp0KQBg+fLl8Pb2xrp16wAAH330Ed577z189913GD58uG6d1t7eHvb29qivr8fatWuRmJgIDw8PFBcXY9WqVQgICEBUVFQPT5WISDpnz57Fzp070draCjs7OyxevBgjRoyQOhZRv2FQYSkrK8PSpUtRXV0NV1dXzJw5E0ePHoWrqysAoLS0VO9fCl988QVaWlqgUCj0Hmf16tVYs2YNzM3NcfbsWWzduhU1NTXw8vLCvHnz8MEHH3DJh4hMQmtrK3bv3o2CggIAwPDhw5GQkNClNyoQ0f94pJNujYUhJ+0QEfWVqqoqKJVK3LlzBwAQHh6Oxx9/nEtARP/QZyfdEhFRe0IIFBQUYPfu3Whra4O9vT0SEhLg5+cndTSifouFhYioB7W0tGDXrl04e/YsgJ/f+ZiQkAA7OzuJkxH1bywsREQ9pLKyEsnJyaiuroZMJsOcOXMwc+ZMyGQyqaMR9XssLEREj0gIgdOnTyMrKwttbW1wcHBAYmIifH19pY5GZDJYWIiIHoFarcbOnTtx/vx5AEBAQAAWL14MW1tbiZMRmRYWFiKibrp9+zaUSiXu3bsHMzMzPPHEEwgLC+MSEFEvYGEhIjKQEAInTpzA3r17odFo4OTkhMTERPj4+EgdjchksbAQERmgubkZ27dvx8WLFwEAgYGBiIuLg42NjcTJiEwbCwsRURfdunULSqUSNTU1MDMzw9y5cxESEsIlIKI+wMJCRPQQQggcO3YM2dnZ0Gq1cHZ2hkKhgLe3t9TRiAYMFhYiogdoampCRkYGLl++DAAYPXo0Fi1aBGtra4mTEQ0sLCxERJ24efMmUlJSUFtbC3Nzc8ybNw+PPfYYl4CIJMDCQkT0K0IIHDlyBPv27YNWq4WLiwuSkpLg6ekpdTSiAYuFhYjonzQ2NiI9PR1Xr14FAIwdOxaxsbGQy+USJyMa2FhYiIj+4caNG0hJSUFdXR0sLCwQHR2NyZMncwmIyAiwsBDRgCeEwKFDh7B//34IITB48GAkJSXB3d1d6mhE9A8sLEQ0oDU0NCAtLQ3FxcUAgAkTJiAmJgZWVlYSJyOif8bCQkQDVklJCVJTU1FfXw8LCwssWLAAwcHBXAIiMkIsLEQ04Gi1Whw8eBAHDx6EEAKurq5QKBRwc3OTOhoRdYKFhYgGlLq6OqSlpaGkpAQAEBwcjAULFsDS0lLiZET0ICwsRDRgFBcXIy0tDQ0NDbC0tERMTAwmTpwodSwi6gIWFiIyeVqtFnl5efjxxx8BAG5ubkhKSsKQIUMkTkZEXcXCQkQmTaVSISUlBaWlpQCAKVOmICoqiktARP0MCwsRmayrV68iPT0djY2NsLKyQmxsLMaNGyd1LCLqBhYWIjI5Go0G+/btw5EjRwAAHh4eSEpKwqBBgyRORkTdxcJCRCaltrYWKSkpuHnzJgDgsccew7x582BhwT93RP0Zn8FEZDIuX76M9PR0NDc3Qy6XY9GiRRgzZozUsYioB7CwEFG/p9FokJOTg6NHjwIAvLy8oFAo4OLiInEyIuopLCxE1K/dv38fKSkpuHXrFgAgJCQEc+fOhbm5ucTJiKgnsbAQUb918eJFZGRkQK1Ww9raGvHx8QgMDJQ6FhH1AhYWIup32trasHfvXpw4cQIAMHToUCQmJsLZ2VnaYETUa8wMGbxmzRrIZDK9S1BQ0APvk5ycjKCgIFhbW2P8+PHYvXu33u1CCLz33nvw9PSEjY0NIiMjcfXqVcNnQkQDwr179/D111/rykpYWBiee+45lhUiE2dQYQGAsWPH4vbt27rLoUOHOh175MgRLF26FCtWrMCZM2cQHx+P+Ph4nD9/Xjdmw4YN+PTTT/Hll1/i2LFjsLOzQ1RUFJqbm7s3IyIyWYWFhdi4cSNu374NGxsb/K//9b94vgrRACETQoiuDl6zZg3S09NRUFDQpfFPPfUUGhoasHPnTt226dOnIzg4GF9++SWEEPDy8sLvfvc7vPHGGwB+/gwFd3d3bNmyBUuWLOnSz1GpVHByckJtbS0cHR27Oh0i6idaW1uxZ88enDp1CgAwbNgwJCYm8vlO1M8Z8vpt8BGWq1evwsvLC/7+/li2bJnu+zk6kp+fj8jISL1tUVFRyM/PBwCUlJSgoqJCb4yTkxNCQkJ0YzqiVquhUqn0LkRkmu7evYvNmzfrysqsWbPw7LPPsqwQDTAGnXQbEhKCLVu2IDAwELdv38batWsxa9YsnD9/Hg4ODu3GV1RUwN3dXW+bu7s7KioqdLf/sq2zMR1Zt24d1q5da0h0IuqHzp49i507d6K1tRW2trZISEjAiBEjpI5FRBIwqLDMnz9f998TJkxASEgIfH198cMPP2DFihU9Hq4zb7/9Nl5//XXddZVKBR8fnz77+UTUu1pbW7F7927d8vPw4cORkJDQ4T+MiGhgeKS3NTs7O2PUqFEoKirq8HYPDw9UVlbqbausrISHh4fu9l+2eXp66o0JDg7u9OfK5XLI5fJHiU5ERurOnTtITk7GnTt3AADh4eF4/PHHYWZm8Ao2EZmQR/oLUF9fj+LiYr2y8c9CQ0ORm5urty07OxuhoaEAAD8/P3h4eOiNUalUOHbsmG4MEQ0cBQUF+Oqrr3Dnzh3Y29tj+fLlmD17NssKERl2hOWNN95AbGwsfH19UV5ejtWrV8Pc3BxLly4FACxfvhze3t5Yt24dAOC1115DeHg4/vjHPyImJgbbtm3DyZMn8dVXXwEAZDIZVq5ciQ8//BAjR46En58f3n33XXh5eSE+Pr5nZ0pERqulpQW7d+/GTz/9BADw9/fH4sWLYW9vL3EyIjIWBhWWsrIyLF26FNXV1XB1dcXMmTNx9OhRuLq6AgBKS0v1/iUUFhaG7777Dr///e/xzjvvYOTIkUhPT8e4ceN0Y1atWoWGhga8+OKLqKmpwcyZM5GVlQVra+semiIRGbPKykoolUrcvXsXMpkMs2fPxqxZsyCTyaSORkRGxKDPYTFW/BwWov5HCIHTp08jKysLbW1tcHBwQGJiInx9faWORkR9xJDXb36XEBH1ObVajZ07d+o+9TogIADx8fGws7OTOBkRGSsWFiLqU7dv34ZSqcS9e/cgk8kQERGBsLAwLgER0QOxsBBRnxBC4OTJk9izZw80Gg0cHR2hUCj4GUpE1CUsLETU65qbm7Fjxw5cuHABABAYGIi4uDjY2NhInIyI+gsWFiLqVbdu3YJSqURNTQ3MzMwQGRmJ6dOncwmIiAzCwkJEvUIIgWPHjiE7OxtarRbOzs5QKBTw9vaWOhoR9UMsLETU45qampCRkYHLly8DAEaPHo1Fixbx85WIqNtYWIioR5WVlUGpVKK2thbm5uaYN28eHnvsMS4BEdEjYWEhoh4hhEB+fj5yc3Oh1Wrh4uKCpKSkTr9rjIjIECwsRPTIGhsbkZ6ejqtXrwIAxo4di9jYWH6rOhH1GBYWInokpaWlSElJgUqlgrm5OebPn4/JkydzCYiIehQLCxF1ixAChw4dwv79+yGEwODBg5GUlAR3d3epoxGRCWJhISKDNTQ0IC0tDcXFxQCACRMmICYmBlZWVhInIyJTxcJCRAa5fv06UlJSUF9fDwsLCyxYsADBwcFcAiKiXsXCQkRdotVq8eOPP+LAgQMQQsDV1RUKhQJubm5SRyOiAYCFhYgeqr6+HqmpqSgpKQEABAcHY/78+VwCIqI+w8JCRA907do1pKamoqGhAZaWloiJicHEiROljkVEAwwLCxF1SKvVIi8vDz/++CMAwM3NDUlJSRgyZIjEyYhoIGJhIaJ2VCoVUlNTcePGDQDA5MmTER0dDUtLS4mTEdFAxcJCRHqKioqQlpaGxsZGWFlZITY2FuPGjZM6FhENcCwsRAQA0Gg02L9/Pw4fPgwA8PDwgEKhwODBgyVORkTEwkJEAGpra5GSkoKbN28CAB577DHMmzcPFhb8E0FExoF/jYgGuMuXLyMjIwNNTU2Qy+VYtGgRxowZI3UsIiI9LCxEA5RGo0FOTg6OHj0KAPDy8oJCoYCLi4vEyYiI2mNhIRqA7t+/j5SUFNy6dQsAEBISgrlz58Lc3FziZEREHWNhIRpgLl68iIyMDKjValhbWyMuLg5BQUFSxyIieiAWFqIBoq2tDdnZ2Th+/DgAYOjQoUhMTISzs7O0wYiIuoCFhWgAuHfvHpRKJW7fvg0ACAsLwxNPPMElICLqN1hYiExcYWEhtm/fjpaWFtjY2CA+Ph6jRo2SOhYRkUFYWIhMVFtbG7KysnDq1CkAwLBhw5CYmAhHR0eJkxERGY6FhcgEVVdXIzk5GZWVlQCAmTNnYs6cOTAzM5M4GRFR9zzSX6/169dDJpNh5cqVnY6ZPXs2ZDJZu0tMTIxuzHPPPdfu9ujo6EeJRjRgnT17Fhs3bkRlZSVsbW3x9NNPIyIigmWFiPq1bh9hOXHiBDZu3IgJEyY8cFxqaipaWlp016urqzFx4kQkJSXpjYuOjsY333yjuy6Xy7sbjWhAam1tRWZmJs6cOQMAGD58OBISEuDg4CBxMiKiR9etwlJfX49ly5Zh06ZN+PDDDx84dtCgQXrXt23bBltb23aFRS6Xw8PDoztxiAa8O3fuQKlUoqqqCgAQHh6Oxx9/nEdViMhkdOuv2auvvoqYmBhERkYafN/NmzdjyZIlsLOz09uel5cHNzc3BAYG4pVXXkF1dXWnj6FWq6FSqfQuRANVQUEBNm3ahKqqKtjb22P58uWYPXs2ywoRmRSDj7Bs27YNp0+fxokTJwz+YcePH8f58+exefNmve3R0dFISEiAn58fiouL8c4772D+/PnIz8/v8HMi1q1bh7Vr1xr884lMSUtLC3bv3o2ffvoJAODv74/FixfD3t5e4mRERD1PJoQQXR188+ZNTJ06FdnZ2bpzV2bPno3g4GB88sknD73/Sy+9hPz8fJw9e/aB465du4YRI0YgJycHERER7W5Xq9VQq9W66yqVCj4+PqitreVbNmlAqKyshFKpxN27dyGTyTB79mzMnDmTR1WIqF9RqVRwcnLq0uu3QUdYTp06haqqKkyePFm3TaPR4ODBg/jss8+gVqs7/eTMhoYGbNu2De+///5Df46/vz+GDBmCoqKiDguLXC7nSbk0IAkhcObMGWRmZqKtrQ0ODg5ITEyEr6+v1NGIiHqVQYUlIiIC586d09v2/PPPIygoCG+++eYDP+Y7OTkZarUaTz/99EN/TllZGaqrq+Hp6WlIPCKTplarsXPnTpw/fx4AEBAQgPj4+HbngxERmSKDCouDgwPGjRunt83Ozg6DBw/WbV++fDm8vb2xbt06vXGbN29GfHw8Bg8erLe9vr4ea9euRWJiIjw8PFBcXIxVq1YhICAAUVFR3ZkTkcmpqKhAcnIy7t27B5lMhoiICISFhUEmk0kdjYioT/T4J92Wlpa2W0e/fPkyDh06hL1797Ybb25ujrNnz2Lr1q2oqamBl5cX5s2bhw8++IDLPjTgCSFw8uRJ7NmzBxqNBo6OjlAoFPDx8ZE6GhFRnzLopFtjZchJO0T9RXNzM3bs2IELFy4AAEaNGoW4uDjY2tpKnIyIqGf02km3RNQ3ysvLoVQqcf/+fZiZmSEyMhLTp0/nEhARDVgsLERGRAiB48ePY+/evdBqtXB2doZCoYC3t7fU0YiIJMXCQmQkmpqasH37dly6dAkAEBQUhLi4OFhbW0ucjIhIeiwsREagrKwMSqUStbW1MDc3x7x58/DYY49xCYiI6B9YWIgkJIRAfn4+cnNzodVq4eLiAoVCAS8vL6mjEREZFRYWIok0NjYiPT0dV69eBQCMHTsWCxcu5BIQEVEHWFiIJFBaWoqUlBSoVCqYm5sjOjoaU6ZM4RIQEVEnWFiI+pAQAocPH8a+ffsghMDgwYOhUCjg4eEhdTQiIqPGwkLURxoaGpCWlobi4mIAwPjx4xETE8NPdCYi6gIWFqI+cP36daSkpKC+vh4WFhZYsGABgoODuQRERNRFLCxEvUir1eLHH3/EgQMHIITAkCFDkJSUBDc3N6mjERH1KywsRL2kvr4eqampKCkpAQAEBwdj/vz5sLKykjgZEVH/w8JC1AuuXbuG1NRUNDQ0wNLSEjExMZg4caLUsYiI+i0WFqIepNVqceDAARw8eBAA4ObmhqSkJAwZMkTiZERE/RsLC1EPqaurQ0pKCm7cuAEAmDx5MqKjo2FpaSlxMiKi/o+FhagHFBUVIS0tDY2NjbCyssLChQsxfvx4qWMREZkMFhaiR6DVarFv3z4cPnwYAODh4QGFQoHBgwdLnIyIyLSwsBB1U21tLVJSUnDz5k0AwNSpUxEVFQULCz6tiIh6Gv+yEnXDlStXkJ6ejqamJsjlcixatAhjxoyROhYRkcliYSEygEajQW5uLvLz8wEAXl5eUCgUcHFxkTgZEZFpY2Eh6qKamhoolUrcunULABASEoLIyEguARER9QH+pSXqgkuXLiEjIwPNzc2wtrZGXFwcgoKCpI5FRDRgsLAQPUBbWxuys7Nx/PhxAIC3tzcUCgWcnZ2lDUZENMCwsBB14t69e1Aqlbh9+zYAIDQ0FBERETA3N5c4GRHRwMPCQtSBwsJC7NixA2q1GjY2NoiPj8eoUaOkjkVENGCxsBD9k7a2NuzZswcnT54EAPj4+CAxMRFOTk4SJyMiGthYWIj+obq6GsnJyaisrAQAzJw5E3PmzIGZmZnEyYiIiIWFCMC5c+ewc+dOtLS0wNbWFosXL0ZAQIDUsYiI6B9YWGhAa21tRWZmJs6cOQMAGD58OBISEuDg4CBxMiIi+mcsLDRg3blzB0qlElVVVQCAxx9/HOHh4VwCIiIyQiwsNCAVFBRg9+7daG1thZ2dHRISEuDv7y91LCIi6sQj/VNy/fr1kMlkWLlyZadjtmzZAplMpnextrbWGyOEwHvvvQdPT0/Y2NggMjISV69efZRoRB1qaWlBeno6MjIy0NraCj8/P7z88sssK0RERq7bR1hOnDiBjRs3YsKECQ8d6+joiMuXL+uuy2Qyvds3bNiATz/9FFu3boWfnx/effddREVF4cKFC+3KDVF3VVVVITk5GXfv3oVMJsPs2bMxc+ZMLgEREfUD3Sos9fX1WLZsGTZt2oQPP/zwoeNlMhk8PDw6vE0IgU8++QS///3vERcXBwD49ttv4e7ujvT0dCxZsqQ7EYl0hBA4c+YMMjMz0dbWBgcHByQkJGD48OFSRyMioi7q1j8tX331VcTExCAyMrJL4+vr6+Hr6wsfHx/ExcWhsLBQd1tJSQkqKir0HsvJyQkhISHIz8/v8PHUajVUKpXehagjarUaaWlp2LFjB9ra2hAQEICXXnqJZYWIqJ8x+AjLtm3bcPr0aZw4caJL4wMDA/H1119jwoQJqK2txccff4ywsDAUFhZi6NChqKioAAC4u7vr3c/d3V1326+tW7cOa9euNTQ6DTAVFRVQKpWorq6GTCbDE088gRkzZrRbkiQiIuNnUGG5efMmXnvtNWRnZ3f53JLQ0FCEhobqroeFhWH06NHYuHEjPvjgA8PS/sPbb7+N119/XXddpVLBx8enW49FpkcIgZMnT2LPnj3QaDRwdHREYmIihg0bJnU0IiLqJoMKy6lTp1BVVYXJkyfrtmk0Ghw8eBCfffYZ1Gr1Q7/J1tLSEpMmTUJRUREA6M5tqayshKenp25cZWUlgoODO3wMuVwOuVxuSHQaIJqbm7Fz507dsuOoUaMQFxcHW1tbiZMREdGjMKiwRERE4Ny5c3rbnn/+eQQFBeHNN998aFkBfi44586dw4IFCwAAfn5+8PDwQG5urq6gqFQqHDt2DK+88ooh8WiAKy8vh1KpxP3792FmZobIyEhMnz6dS0BERCbAoMLi4OCAcePG6W2zs7PD4MGDdduXL18Ob29vrFu3DgDw/vvvY/r06QgICEBNTQ3+8Ic/4MaNG3jhhRcAQPc5Lh9++CFGjhype1uzl5cX4uPje2CKZOqEEDh+/Diys7Oh0Wjg5OQEhUKBoUOHSh2NiIh6SI9/0m1paane51rcv38fv/3tb1FRUQEXFxdMmTIFR44cwZgxY3RjVq1ahYaGBrz44ouoqanBzJkzkZWVxc9goYdqamrC9u3bcenSJQBAUFAQFi1aBBsbG4mTERFRT5IJIYTUIR6VSqWCk5MTamtr4ejoKHUc6iNlZWVISUlBTU0NzM3NMXfuXEybNo1LQERE/YQhr9/8LiHqd4QQOHr0KHJycqDVauHi4gKFQgEvLy+poxERUS9hYaF+pbGxERkZGbhy5QoAYMyYMYiNjeXyIRGRiWNhoX6jtLQUKSkpUKlUMDc3R3R0NKZMmcIlICKiAYCFhYyeEAKHDx/Gvn37IITAoEGDkJSU1On3UxERkelhYSGj1tDQgPT0dN0HDY4fPx4xMTH84EAiogGGhYWM1o0bN5CSkoK6ujpYWFhg/vz5mDRpEpeAiIgGIBYWMjparRaHDh1CXl4ehBAYMmQIkpKS4ObmJnU0IiKSCAsLGZX6+nqkpqaipKQEADBx4kQsWLAAVlZWEicjIiIpsbCQ0bh27RpSU1PR0NAAS0tLLFiwoNMvwCQiooGFhYUkp9VqceDAARw8eBAA4ObmBoVCAVdXV4mTERGRsWBhIUnV1dUhNTUV169fBwBMmjQJ8+fPh6WlpbTBiIjIqLCwkGSKioqQlpaGxsZGWFlZYeHChRg/frzUsYiIyAixsFCf02q12LdvHw4fPgwAcHd3R1JSEgYPHixxMiIiMlYsLNSnamtrkZKSgps3bwIApk6diqioKFhY8FeRiIg6x1cJ6jNXrlxBeno6mpqaIJfLERsbi7Fjx0odi4iI+gEWFup1Go0Gubm5yM/PBwB4enpCoVBg0KBBEicjIqL+goWFelVNTQ2USiVu3boFAJg2bRrmzp3LJSAiIjIIXzWo11y6dAkZGRlobm6GtbU14uLiEBQUJHUsIiLqh1hYqMdpNBpkZ2fj2LFjAABvb28oFAo4OztLG4yIiPotFhbqUffv34dSqUR5eTkAIDQ0FBERETA3N5c4GRER9WcsLNRjLly4gO3bt0OtVsPGxgbx8fEYNWqU1LGIiMgEsLDQI2tra8OePXtw8uRJAICPjw8SExPh5OQkcTIiIjIVLCz0SKqrq6FUKlFRUQEAmDFjBubMmcMlICIi6lEsLNRt586dw86dO9HS0gJbW1ssXrwYAQEBUsciIiITxMJCBmttbUVWVhZOnz4NAPD19UViYiIcHBwkTkZERKaKhYUMcvfuXSQnJ6OqqgoA8PjjjyM8PBxmZmYSJyMiIlPGwkJd9tNPP2HXrl1obW2FnZ0dEhIS4O/vL3UsIiIaAFhY6KFaWlqQmZmJgoICAICfnx8SEhJgb28vbTAiIhowWFjogaqqqqBUKnHnzh3IZDKEh4dj1qxZXAIiIqI+xcJCHRJC4MyZM8jMzERbWxvs7e2RmJiI4cOHSx2NiIgGIBYWaketVmPXrl04d+4cAGDEiBFYvHgx7OzsJE5GREQD1SMd11+/fj1kMhlWrlzZ6ZhNmzZh1qxZcHFxgYuLCyIjI3H8+HG9Mc899xxkMpneJTo6+lGiUTdVVFRg06ZNOHfuHGQyGSIiIrBs2TKWFSIiklS3j7CcOHECGzduxIQJEx44Li8vD0uXLkVYWBisra3x0UcfYd68eSgsLIS3t7duXHR0NL755hvddblc3t1o1A1CCJw6dQpZWVnQaDRwdHREYmIihg0bJnU0IiKi7hWW+vp6LFu2DJs2bcKHH374wLF/+9vf9K7/9a9/RUpKCnJzc7F8+XLddrlcDg8Pj+7EoUekVquxY8cOFBYWAgBGjRqFuLg42NraSpyMiIjoZ91aEnr11VcRExODyMhIg+/b2NiI1tZWDBo0SG97Xl4e3NzcEBgYiFdeeQXV1dWdPoZarYZKpdK7UPeUl5dj48aNKCwshJmZGebOnYslS5awrBARkVEx+AjLtm3bcPr0aZw4caJbP/DNN9+El5eXXtmJjo5GQkIC/Pz8UFxcjHfeeQfz589Hfn5+h1+it27dOqxdu7ZbP59+JoTA8ePHkZ2dDY1GAycnJygUCgwdOlTqaERERO3IhBCiq4Nv3ryJqVOnIjs7W3fuyuzZsxEcHIxPPvnkofdfv349NmzYgLy8vAee+3Lt2jWMGDECOTk5iIiIaHe7Wq2GWq3WXVepVPDx8UFtbS0cHR27Op0Bq7m5Gdu3b8fFixcBAEFBQVi0aBFsbGwkTkZERAOJSqWCk5NTl16/DTrCcurUKVRVVWHy5Mm6bRqNBgcPHsRnn30GtVrd4RERAPj444+xfv165OTkPPREXX9/fwwZMgRFRUUdFha5XM6Tcrvp1q1bUCqVqKmpgZmZGebNm4dp06ZBJpNJHY2IiKhTBhWWiIgI3Wdz/OL5559HUFAQ3nzzzU7LyoYNG/Dv//7v2LNnD6ZOnfrQn1NWVobq6mp4enoaEo8eQAiBo0ePIicnB1qtFi4uLlAoFPDy8pI6GhER0UMZVFgcHBwwbtw4vW12dnYYPHiwbvvy5cvh7e2NdevWAQA++ugjvPfee/juu+8wfPhwVFRUAADs7e1hb2+P+vp6rF27FomJifDw8EBxcTFWrVqFgIAAREVF9cQcB7ympiakp6fjypUrAIAxY8YgNjYW1tbWEicjIiLqmh7/pNvS0lK975n54osv0NLSAoVCoTdu9erVWLNmDczNzXH27Fls3boVNTU18PLywrx58/DBBx9w2acH3Lx5E0qlEiqVCubm5oiKisLUqVO5BERERP2KQSfdGitDTtoZKIQQOHLkCHJzcyGEwKBBg5CUlMTPuiEiIqPRayfdUv/Q0NCA9PR0FBUVAQDGjRuHhQsX8ogVERH1WywsJubGjRtISUlBXV0dLCwsMH/+fEyaNIlLQERE1K+xsJgIrVaLQ4cOIS8vD0IIDBkyBAqFAu7u7lJHIyIiemQsLCagvr4eaWlpuHbtGgBg4sSJWLBgAaysrCRORkRE1DNYWPq5kpISpKamor6+HpaWlliwYAGCg4OljkVERNSjWFj6Ka1WiwMHDuDgwYMAAFdXVyQlJcHV1VXiZERERD2PhaUfqqurQ2pqKq5fvw4AmDRpEubPnw9LS0tpgxEREfUSFpZ+pri4GKmpqWhsbISVlRUWLlyI8ePHSx2LiIioV7Gw9BNarRb79+/HoUOHAADu7u5ISkrC4MGDJU5GRETU+1hY+gGVSoWUlBSUlpYCAKZMmYLo6GhYWHD3ERHRwMBXPCN39epVpKWloampCVZWVli0aBHGjh0rdSwiIqI+xcJipDQaDfbt24cjR44AADw9PaFQKDBo0CCJkxEREfU9FhYjVFNTg5SUFJSVlQEApk2bhrlz53IJiIiIBiy+AhqZS5cuISMjA83NzbC2tsaiRYswevRoqWMRERFJioXFSGg0GmRnZ+PYsWMAAG9vbygUCjg7O0sbjIiIyAiwsBiB+/fvQ6lUory8HAAQGhqKiIgImJubS5yMiIjIOLCwSOzChQvYvn071Go1bGxsEBcXh8DAQKljERERGRUWFom0tbVh7969OHHiBADAx8cHiYmJcHJykjgZERGR8WFhkUB1dTWUSiUqKioAADNmzMCcOXO4BERERNQJFpY+dv78eezYsQMtLS2wtbXF4sWLERAQIHUsIiIio8bC0kdaW1uRlZWF06dPAwB8fX2RkJAAR0dHiZMREREZPxaWPnD37l0kJyejqqoKADBr1izMnj0bZmZmEicjIiLqH1hYetlPP/2EXbt2obW1FXZ2dkhISIC/v7/UsYiIiPoVFpZe0tLSgszMTBQUFAAA/Pz8kJCQAHt7e2mDERER9UMsLL2gqqoKSqUSd+7cgUwmQ3h4OGbNmsUlICIiom5iYelBQggUFBRg9+7daGtrg729PRITEzF8+HCpoxEREfVrLCw9pKWlBbt27cLZs2cBACNGjMDixYthZ2cncTIiIqL+j4WlB1RWViI5ORnV1dWQyWSYM2cOZs6cCZlMJnU0IiIik8DC8giEEDh16hSysrKg0Wjg4OAAhUKBYcOGSR2NiIjIpLCwdJNarcaOHTtQWFgIABg5ciTi4+Nha2srcTIiIiLTw8LSDbdv34ZSqcS9e/dgZmaGiIgIhIaGcgmIiIiolzzS+2zXr18PmUyGlStXPnBccnIygoKCYG1tjfHjx2P37t16twsh8N5778HT0xM2NjaIjIzE1atXHyVarxBC4Pjx49i8eTPu3bsHJycnPP/88wgLC2NZISIi6kXdLiwnTpzAxo0bMWHChAeOO3LkCJYuXYoVK1bgzJkziI+PR3x8PM6fP68bs2HDBnz66af48ssvcezYMdjZ2SEqKgrNzc3djdfjmpubkZycjMzMTGg0GgQGBuKll17C0KFDpY5GRERk8mRCCGHonerr6zF58mT8v//3//Dhhx8iODgYn3zySYdjn3rqKTQ0NGDnzp26bdOnT0dwcDC+/PJLCCHg5eWF3/3ud3jjjTcAALW1tXB3d8eWLVuwZMmSh+ZRqVRwcnJCbW1tr3yZ4K1bt6BUKlFTUwMzMzPMnTsXISEhPKpCRET0CAx5/e7WEZZXX30VMTExiIyMfOjY/Pz8duOioqKQn58PACgpKUFFRYXeGCcnJ4SEhOjG/JparYZKpdK79AYhBPLz8/H111+jpqYGzs7O+M1vfoPp06ezrBAREfUhg0+63bZtG06fPo0TJ050aXxFRQXc3d31trm7u6OiokJ3+y/bOhvza+vWrcPatWsNjW6w27dvY+/evQCAMWPGIDY2FtbW1r3+c4mIiEifQYXl5s2beO2115CdnS3pC/fbb7+N119/XXddpVLBx8enx3+Ol5cXwsPDYWdnh6lTp/KoChERkUQMKiynTp1CVVUVJk+erNum0Whw8OBBfPbZZ1Cr1TA3N9e7j4eHByorK/W2VVZWwsPDQ3f7L9s8PT31xgQHB3eYQy6XQy6XGxK922bPnt0nP4eIiIg6Z9A5LBERETh37hwKCgp0l6lTp2LZsmUoKChoV1YAIDQ0FLm5uXrbsrOzERoaCgDw8/ODh4eH3hiVSoVjx47pxhAREdHAZtARFgcHB4wbN05vm52dHQYPHqzbvnz5cnh7e2PdunUAgNdeew3h4eH44x//iJiYGGzbtg0nT57EV199BQC6z3H58MMPMXLkSPj5+eHdd9+Fl5cX4uPje2CKRERE1N/1+CfdlpaWwszsfw7chIWF4bvvvsPvf/97vPPOOxg5ciTS09P1is+qVavQ0NCAF198ETU1NZg5cyaysrJ4gisREREB6ObnsBib3v4cFiIiIup5vf45LERERER9iYWFiIiIjB4LCxERERk9FhYiIiIyeiwsREREZPRYWIiIiMjosbAQERGR0WNhISIiIqPHwkJERERGr8c/ml8Kv3xYr0qlkjgJERERddUvr9td+dB9kygsdXV1AAAfHx+JkxAREZGh6urq4OTk9MAxJvFdQlqtFuXl5XBwcIBMJuvRx1apVPDx8cHNmzdN8nuKTH1+gOnPkfPr/0x9jqY+P8D059hb8xNCoK6uDl5eXnpfnNwRkzjCYmZmhqFDh/bqz3B0dDTJX8JfmPr8ANOfI+fX/5n6HE19foDpz7E35vewIyu/4Em3REREZPRYWIiIiMjosbA8hFwux+rVqyGXy6WO0itMfX6A6c+R8+v/TH2Opj4/wPTnaAzzM4mTbomIiMi08QgLERERGT0WFiIiIjJ6LCxERERk9FhYiIiIyOgNqMJy8OBBxMbGwsvLCzKZDOnp6Q+9T15eHiZPngy5XI6AgABs2bKl3ZjPP/8cw4cPh7W1NUJCQnD8+PGeD99Fhs4xNTUVc+fOhaurKxwdHREaGoo9e/bojVmzZg1kMpneJSgoqBdn0TlD55eXl9cuu0wmQ0VFhd44Y9mHhs7vueee63B+Y8eO1Y0xpv23bt06PPbYY3BwcICbmxvi4+Nx+fLlh94vOTkZQUFBsLa2xvjx47F7926924UQeO+99+Dp6QkbGxtERkbi6tWrvTWNB+rOHDdt2oRZs2bBxcUFLi4uiIyMbPc72NG+jo6O7s2pdKg789uyZUu77NbW1npjjGUfdmd+s2fP7vB5GBMToxtjLPsPAL744gtMmDBB9yFwoaGhyMzMfOB9jOE5OKAKS0NDAyZOnIjPP/+8S+NLSkoQExODOXPmoKCgACtXrsQLL7yg94L+/fff4/XXX8fq1atx+vRpTJw4EVFRUaiqquqtaTyQoXM8ePAg5s6di927d+PUqVOYM2cOYmNjcebMGb1xY8eOxe3bt3WXQ4cO9Ub8hzJ0fr+4fPmyXn43Nzfdbca0Dw2d31/+8he9ed28eRODBg1CUlKS3jhj2X8HDhzAq6++iqNHjyI7Oxutra2YN28eGhoaOr3PkSNHsHTpUqxYsQJnzpxBfHw84uPjcf78ed2YDRs24NNPP8WXX36JY8eOwc7ODlFRUWhubu6Laenpzhzz8vKwdOlS7N+/H/n5+fDx8cG8efNw69YtvXHR0dF6+/Hvf/97b0+nne7MD/j5E1L/OfuNGzf0bjeWfdid+aWmpurN7fz58zA3N2/3PDSG/QcAQ4cOxfr163Hq1CmcPHkSTzzxBOLi4lBYWNjheKN5DooBCoBIS0t74JhVq1aJsWPH6m176qmnRFRUlO76tGnTxKuvvqq7rtFohJeXl1i3bl2P5u2OrsyxI2PGjBFr167VXV+9erWYOHFizwXrIV2Z3/79+wUAcf/+/U7HGOs+7M7+S0tLEzKZTFy/fl23zVj3nxBCVFVVCQDiwIEDnY558sknRUxMjN62kJAQ8dJLLwkhhNBqtcLDw0P84Q9/0N1eU1Mj5HK5+Pvf/947wQ3QlTn+Wltbm3BwcBBbt27VbXv22WdFXFxcLyR8NF2Z3zfffCOcnJw6vd2Y92F39t+f//xn4eDgIOrr63XbjHX//cLFxUX89a9/7fA2Y3kODqgjLIbKz89HZGSk3raoqCjk5+cDAFpaWnDq1Cm9MWZmZoiMjNSN6W+0Wi3q6uowaNAgve1Xr16Fl5cX/P39sWzZMpSWlkqUsHuCg4Ph6emJuXPn4vDhw7rtprYPN2/ejMjISPj6+uptN9b9V1tbCwDtft/+2cOehyUlJaioqNAb4+TkhJCQEKPYh12Z4681NjaitbW13X3y8vLg5uaGwMBAvPLKK6iuru7RrN3R1fnV19fD19cXPj4+7f41b8z7sDv7b/PmzViyZAns7Oz0thvj/tNoNNi2bRsaGhoQGhra4RhjeQ6ysDxARUUF3N3d9ba5u7tDpVKhqakJd+/ehUaj6XDMr8+R6C8+/vhj1NfX48knn9RtCwkJwZYtW5CVlYUvvvgCJSUlmDVrFurq6iRM2jWenp748ssvkZKSgpSUFPj4+GD27Nk4ffo0AJjUPiwvL0dmZiZeeOEFve3Guv+0Wi1WrlyJGTNmYNy4cZ2O6+x5+Mv++eV/jXEfdnWOv/bmm2/Cy8tL7wUgOjoa3377LXJzc/HRRx/hwIEDmD9/PjQaTW9E75Kuzi8wMBBff/01MjIy8N///d/QarUICwtDWVkZAOPdh93Zf8ePH8f58+fbPQ+Nbf+dO3cO9vb2kMvlePnll5GWloYxY8Z0ONZYnoMm8W3N1DO+++47rF27FhkZGXrneMyfP1/33xMmTEBISAh8fX3xww8/YMWKFVJE7bLAwEAEBgbqroeFhaG4uBh//vOf8V//9V8SJut5W7duhbOzM+Lj4/W2G+v+e/XVV3H+/HnJzqfpC92Z4/r167Ft2zbk5eXpnZi6ZMkS3X+PHz8eEyZMwIgRI5CXl4eIiIgezd1VXZ1faGio3r/ew8LCMHr0aGzcuBEffPBBb8fstu7sv82bN2P8+PGYNm2a3nZj23+BgYEoKChAbW0tlEolnn32WRw4cKDT0mIMeITlATw8PFBZWam3rbKyEo6OjrCxscGQIUNgbm7e4RgPD4++jPrItm3bhhdeeAE//PBDu0N/v+bs7IxRo0ahqKioj9L1rGnTpumym8o+FELg66+/xjPPPAMrK6sHjjWG/fcv//Iv2LlzJ/bv34+hQ4c+cGxnz8Nf9s8v/2ts+9CQOf7i448/xvr167F3715MmDDhgWP9/f0xZMgQyfZjd+b3C0tLS0yaNEmX3Rj3YXfm19DQgG3btnXpHwJS7z8rKysEBARgypQpWLduHSZOnIi//OUvHY41lucgC8sDhIaGIjc3V29bdna27l8KVlZWmDJlit4YrVaL3NzcTtcCjdHf//53PP/88/j73/+u9za8ztTX16O4uBienp59kK7nFRQU6LKbyj48cOAAioqKuvSHUsr9J4TAv/zLvyAtLQ379u2Dn5/fQ+/zsOehn58fPDw89MaoVCocO3ZMkn3YnTkCP7/L4oMPPkBWVhamTp360PFlZWWorq7u8/3Y3fn9M41Gg3PnzumyG9M+fJT5JScnQ61W4+mnn37oWKn2X2e0Wi3UanWHtxnNc7DHTt/tB+rq6sSZM2fEmTNnBADxpz/9SZw5c0bcuHFDCCHEW2+9JZ555hnd+GvXrglbW1vxb//2b+LixYvi888/F+bm5iIrK0s3Ztu2bUIul4stW7aICxcuiBdffFE4OzuLioqKPp+fEIbP8W9/+5uwsLAQn3/+ubh9+7buUlNToxvzu9/9TuTl5YmSkhJx+PBhERkZKYYMGSKqqqqMfn5//vOfRXp6urh69ao4d+6ceO2114SZmZnIycnRjTGmfWjo/H7x9NNPi5CQkA4f05j23yuvvCKcnJxEXl6e3u9bY2Ojbswzzzwj3nrrLd31w4cPCwsLC/Hxxx+LixcvitWrVwtLS0tx7tw53Zj169cLZ2dnkZGRIc6ePSvi4uKEn5+faGpq6tP5CdG9Oa5fv15YWVkJpVKpd5+6ujohxM+/F2+88YbIz88XJSUlIicnR0yePFmMHDlSNDc3G/381q5dK/bs2SOKi4vFqVOnxJIlS4S1tbUoLCzUjTGWfdid+f1i5syZ4qmnnmq33Zj2nxA//x05cOCAKCkpEWfPnhVvvfWWkMlkYu/evUII430ODqjC8stbXH99efbZZ4UQP7/tLDw8vN19goODhZWVlfD39xfffPNNu8f9z//8TzFs2DBhZWUlpk2bJo4ePdr7k+mEoXMMDw9/4Hghfn4rt6enp7CyshLe3t7iqaeeEkVFRX07sX8wdH4fffSRGDFihLC2thaDBg0Ss2fPFvv27Wv3uMayD7vzO1pTUyNsbGzEV1991eFjGtP+62huAPSeV+Hh4Xq/f0II8cMPP4hRo0YJKysrMXbsWLFr1y6927VarXj33XeFu7u7kMvlIiIiQly+fLkPZtRed+bo6+vb4X1Wr14thBCisbFRzJs3T7i6ugpLS0vh6+srfvvb30pSqrszv5UrV+qeX+7u7mLBggXi9OnTeo9rLPuwu7+jly5dEgB0L/r/zJj2nxBC/OY3vxG+vr7CyspKuLq6ioiICL3cxvoclAkhRA8drCEiIiLqFTyHhYiIiIweCwsREREZPRYWIiIiMnosLERERGT0WFiIiIjI6LGwEBERkdFjYSEiIiKjx8JCRERERo+FhYiIiIweCwsREREZPRYWIiIiMnosLERERGT0/j+13p8VP5cuPQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 当只有一个位于[0,1]的值时，表示灰度色阶\n",
    "plt.plot([1,2,3],[4,5,6],color='0.5')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 4.单字符基本颜色"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x1ca5cd96248>]"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# matplotlib有八个基本颜色，可以用单字符串来表示，分别是'b', 'g', 'r', 'c', 'm', 'y', 'k', 'w'，对应的是blue, green, red, cyan, magenta, yellow, black, and white的英文缩写\n",
    "plt.plot([1,2,3],[4,5,6],color='m')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 5.颜色名称"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x1ca5ba03c88>]"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# matplotlib提供了颜色对照表，可供查询颜色对应的名称\n",
    "plt.plot([1,2,3],[4,5,6],color='tan')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![](https://matplotlib.org/3.1.0/_images/sphx_glr_named_colors_002.png)\n",
    "![](https://matplotlib.org/3.1.0/_images/sphx_glr_named_colors_003.png)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 6.使用colormap设置一组颜色"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "有些图表支持使用colormap的方式配置一组颜色，从而在可视化中通过色彩的变化表达更多信息。\n",
    "\n",
    "在matplotlib中，colormap共有五种类型:\n",
    "\n",
    "- 顺序（Sequential）。通常使用单一色调，逐渐改变亮度和颜色渐渐增加，用于表示有顺序的信息\n",
    "- 发散（Diverging）。改变两种不同颜色的亮度和饱和度，这些颜色在中间以不饱和的颜色相遇；当绘制的信息具有关键中间值（例如地形）或数据偏离零时，应使用此值。\n",
    "- 循环（Cyclic）。改变两种不同颜色的亮度，在中间和开始/结束时以不饱和的颜色相遇。用于在端点处环绕的值，例如相角，风向或一天中的时间。\n",
    "- 定性（Qualitative）。常是杂色，用来表示没有排序或关系的信息。\n",
    "- 杂色（Miscellaneous）。一些在特定场景使用的杂色组合，如彩虹，海洋，地形等。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.PathCollection at 0x1ca5ce33508>"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "x = np.random.randn(50)\n",
    "y = np.random.randn(50)\n",
    "plt.scatter(x,y,c=x,cmap='RdPu')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 作业"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "\n",
    "1）查阅matplotlib官网，列举出Sequential，Diverging，Cyclic，Qualitative，Miscellaneous分别有哪些内置的colormap，并以`代码绘图`的形式展现出来\n",
    "\n",
    "2）学习如何自定义colormap，并将其应用到任意一个数据集中，绘制一幅图像，注意colormap的类型要和数据集的特性相匹配，并做简单解释"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.9"
  },
  "toc": {
   "base_numbering": 1,
   "nav_menu": {},
   "number_sections": false,
   "sideBar": true,
   "skip_h1_title": false,
   "title_cell": "Table of Contents",
   "title_sidebar": "Contents",
   "toc_cell": false,
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